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Dataset Title:  Dissolved oxygen from 4 field sites in Bogue Sound, North Carolina from 2014
to 2015.
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_721344)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
Graph Type:  ?
X Axis: 
Y Axis: 
Constraints ? Optional
Constraint #1 ?
Constraint #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.")
Graph Settings
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    [The graph you specified. Please be patient.]


Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Season {
    String bcodmo_name "unknown";
    String description "Season data were collected";
    String long_name "Season";
    String units "unitless";
  Site {
    String bcodmo_name "site";
    String description "Site where data were collected";
    String long_name "Site";
    String units "unitless";
  CoreName {
    String bcodmo_name "core_id";
    String description "Core name";
    String long_name "Core Name";
    String units "unitless";
  CoreNo {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String bcodmo_name "core_id";
    String description "Core ID number";
    String long_name "Core No";
    String units "unitless";
  TimePt {
    Byte _FillValue 127;
    Byte actual_range 1, 5;
    String bcodmo_name "time_point";
    String description "Time point of collection; 1 2 or 3";
    String long_name "Time Pt";
    String units "unitless";
  O2Flux {
    Float64 _FillValue NaN;
    Float64 actual_range -3238.042017, 101.2914214;
    String bcodmo_name "dissolved Oxygen";
    String description "Oxygen concentration";
    String long_name "O2 Flux";
    String units "milligrams per liter";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Water samples collected on-site. Dissolved oxygen concentrations were measured
with Membrane Inlet Mass Spectrometer (MIMS). The 4 field sites\\u00a0 are
sites of oyster reef and salt marsh restoration. Identified in data as UNC
Institute of Marine Sciences (IMS), Carrot Island (Carrot), NOAA Beaufort
(NOAA), and Army Marsh (Army). All sites located in Bogue Sound near Morehead
City, NC.";
    String awards_0_award_nid "527293";
    String awards_0_award_number "OCE-1233327";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1233327";
    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 cdm_data_type "Other";
    String comment 
"Oxygen Concentrations 
  M. Piehler, PI 
  Version 14 December 2017";
    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 "2017-12-15T22:47:35Z";
    String date_modified "2020-01-23T15:37:58Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.721344.1";
    String history 
"2022-08-17T10:39:36Z (local files)
2022-08-17T10:39:36Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_721344.das";
    String infoUrl "https://www.bco-dmo.org/dataset/721344";
    String institution "BCO-DMO";
    String instruments_0_acronym "MIMS";
    String instruments_0_dataset_instrument_description "Used to measure oxygen concentrations";
    String instruments_0_dataset_instrument_nid "722798";
    String instruments_0_description "Membrane-introduction mass spectrometry (MIMS) is a method of introducing analytes into the mass spectrometer's vacuum chamber via a semipermeable membrane.";
    String instruments_0_instrument_name "Membrane Inlet Mass Spectrometer";
    String instruments_0_instrument_nid "661606";
    String instruments_0_supplied_name "Membrane inlet mass spectrometer";
    String keywords "bco, bco-dmo, biological, chemical, core, CoreName, CoreNo, data, dataset, dmo, erddap, flux, management, name, O2, O2Flux, oceanography, office, oxygen, preliminary, season, site, time, TimePt";
    String license "https://www.bco-dmo.org/dataset/721344/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/721344";
    String param_mapping "{'721344': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/721344/parameters";
    String people_0_affiliation "University of North Carolina at Chapel Hill";
    String people_0_affiliation_acronym "UNC-Chapel Hill-IMS";
    String people_0_person_name "Michael F. Piehler";
    String people_0_person_nid "522931";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Virginia Institute of Marine Science";
    String people_1_affiliation_acronym "VIMS";
    String people_1_person_name "Mark J. Brush";
    String people_1_person_nid "568861";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Virginia Institute of Marine Science";
    String people_2_affiliation_acronym "VIMS";
    String people_2_person_name "Bongkeun Song";
    String people_2_person_nid "51729";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of Connecticut";
    String people_3_affiliation_acronym "UConn - Avery Point";
    String people_3_person_name "Craig Tobias";
    String people_3_person_nid "51731";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Hannah Ake";
    String people_4_person_nid "650173";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "Oyster Reef N2O Emission";
    String projects_0_acronym "Oyster Reef N2O Emission";
    String projects_0_description 
"Extracted from the NSF award abstract:
Oyster reefs are biogeochemical hot spots and prominent estuarine habitats that provide disproportionate ecological function. Suspension-feeding eastern oysters, Crassostrea virginica, are capable of improving water quality and diminishing eutrophication by filtering nutrients and particles from the water and depositing them in the sediments. Remineralization of these deposits may enhance sedimentary denitrification that facilitates nitrogen removal in tidal estuaries. However, the scientific underpinning of oyster reef function has been challenged in various studies. In addition, recent studies of filter feeding invertebrates reported the production of nitrous oxide (N2O), a greenhouse gas, as an end product of incomplete denitrification by gut microbes. C. virginica could be another source of N2O flux from intertidal habitats. Preliminary work indicated substantial N2O production from individual oysters. The estimated N2O production from high density oyster reefs may exceed the N2O flux measured from some estuaries. With the new discovery of N2O emission and uncertainty regarding eutrophication control, the ecological value of oyster reef restoration may become equivocal.
This project will quantify N2O fluxes to understand the factors controlling N2O emission from oyster reefs. Sedimentary N processes will be examined to develop an oyster reef N model to estimate N2O emission from tidal creek estuaries relative to other N cycling processes. The PIs hypothesize that intertidal oyster reefs are a substantial source of N2O emission from estuarine ecosystems and the magnitude of emission may be linked to water quality. If substantial N2O flux from oyster reefs is validated, ecological benefits of oyster reef restoration should be reevaluated. This interdisciplinary research team includes a microbial ecologist, a biogeochemist, an ecologist and an ecosystem modeler. They will utilize stable isotope and molecular microbiological techniques to quantify oyster N2O production, elucidate microbial sources of N2O emission from oysters and sediments, and estimate seasonal variation of N2O fluxes from oyster reefs. Measurements from this study will be integrated into a coupled oyster bioenergetics-sediment biogeochemistry model to compare system level rates of N cycling on oyster reefs as a function of oyster density and water quality. Modeling results will be used to assess the relative trade-­offs of oyster restoration associated with N cycling. They expect to deliver the following end products:1) estimation of annual N2O flux from oyster reefs as an additional source of greenhouse gases from estuaries, 2) a better understanding of the environmental and microbial factors influencing N2O and N2 fluxes in tidal estuaries, 3) transformative knowledge for the effect of oyster restoration on water quality enhancement and ecosystem function, 4) direct guidance for oyster restoration projects whose goals include water quality enhancement, and 5) a modeling tool for use in research and restoration planning.";
    String projects_0_end_date "2015-08";
    String projects_0_name "Microbial Regulation of Greenhouse Gas N2O Emission from Intertidal Oyster Reefs";
    String projects_0_project_nid "527289";
    String projects_0_start_date "2012-12";
    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 summary "Dissolved oxygen from 4 field sites in Bogue Sound, North Carolina from 2014 to 2015.";
    String title "Dissolved oxygen from 4 field sites in Bogue Sound, North Carolina from 2014 to 2015.";
    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
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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