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Dataset Title:  Dissolved N2O and aquatic nutrient concentrations from 4 field sites in Bogue
Sound, North Carolina collected from 2014 to 2015.
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_720183)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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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 description "Season data were collected";
    String ioos_category "Unknown";
    String long_name "Season";
    String units "unitless";
  }
  Site {
    String description "Site where data were collected";
    String ioos_category "Unknown";
    String long_name "Site";
    String units "unitless";
  }
  CoreName {
    String description "Core name";
    String ioos_category "Unknown";
    String long_name "Core Name";
    String units "unitless";
  }
  CoreNo {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String description "Core ID number";
    String ioos_category "Unknown";
    String long_name "Core No";
    String units "unitless";
  }
  NOx {
    Float64 _FillValue NaN;
    Float64 actual_range -0.003457143, 4.464285714;
    String description "NOx concentration";
    String ioos_category "Unknown";
    String long_name "NOx";
    String units "micromoles per liter";
  }
  NH3 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.287142857, 29.5;
    String description "NH3 concentration";
    String ioos_category "Dissolved Nutrients";
    String long_name "NH3";
    String units "micromoles per liter";
  }
  PO4 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.096451613, 0.674193548;
    String description "PO4 concentration";
    String ioos_category "Dissolved Nutrients";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "micromoles per liter";
  }
  TN {
    Float64 _FillValue NaN;
    Float64 actual_range 6.235714286, 49.57142857;
    String description "TN concentration";
    String ioos_category "Unknown";
    String long_name "TN";
    String units "micromoles per liter";
  }
  ON {
    Float64 _FillValue NaN;
    Float64 actual_range 2.047857143, 38.57857143;
    String description "ON concentration";
    String ioos_category "Unknown";
    String long_name "ON";
    String units "micromoles per liter";
  }
  N2O_conc_uM {
    Float64 _FillValue NaN;
    Float64 actual_range 5.69374e-4, 0.096571994;
    String description "N2O concentration in uM";
    String ioos_category "Unknown";
    String long_name "N2 O Conc U M";
    String units "micromoles";
  }
  N2O_conc_nM {
    Float64 _FillValue NaN;
    Float64 actual_range 0.569374432, 96.57199419;
    String description "N2O concentration in nM";
    String ioos_category "Statistics";
    String long_name "N2 O Conc N M";
    String units "nanomoles";
  }
  N2O_flux {
    Float64 _FillValue NaN;
    Float64 actual_range -0.587346062, 0.620434182;
    String description "N2O concentration flux";
    String ioos_category "Unknown";
    String long_name "N2 O Flux";
    String units "micromoles";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Water samples were collected on-site and transported to UNC IMS. Water samples
were collected in vented N2-sparged glass vials. N2O concentrations in the
headspace were measured using a GC. They were analyzed for nutrient
concentrations with Lachat Autoanalyzer. The 4 field sites 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 "Dr David  L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"N2O and Nutrient 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 2.2d  13 Jun 2019";
    String date_created "2017-11-29T22:11:26Z";
    String date_modified "2019-03-14T20:27:57Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.720183.1";
    String history 
"2019-07-18T22:25:38Z (local files)
2019-07-18T22:25:38Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_720183.das";
    String infoUrl "https://www.bco-dmo.org/dataset/720183";
    String institution "BCO-DMO";
    String instruments_0_acronym "Nutrient Autoanalyzer";
    String instruments_0_dataset_instrument_description "Used to determine nutrient concentrations";
    String instruments_0_dataset_instrument_nid "722782";
    String instruments_0_description "Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified.  In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_0_instrument_name "Nutrient Autoanalyzer";
    String instruments_0_instrument_nid "558";
    String instruments_0_supplied_name "Lachat Autoanalyzer";
    String instruments_1_acronym "Gas Chromatograph";
    String instruments_1_dataset_instrument_description "Used to analyze N2O";
    String instruments_1_dataset_instrument_nid "722783";
    String instruments_1_description "Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC)";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB02/";
    String instruments_1_instrument_name "Gas Chromatograph";
    String instruments_1_instrument_nid "661";
    String instruments_1_supplied_name "Gas Chromatograph";
    String keywords "bco, bco-dmo, biological, chemical, chemistry, conc, concentration, core, CoreName, CoreNo, data, dataset, dissolved, dissolved nutrients, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Phosphate, erddap, flux, management, mass, mass_concentration_of_phosphate_in_sea_water, N2O_conc_nM, N2O_conc_uM, N2O_flux, name, nh3, nox, nutrients, ocean, oceanography, oceans, office, phosphate, po4, preliminary, science, sea, season, seawater, site, statistics, u, 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/720183";
    String param_mapping "{'720183': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/720183/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 "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Hannah Ake";
    String people_1_person_nid "650173";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Microbial Regulation of Greenhouse Gas N2O Emission from Intertidal Oyster Reefs";
    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 "Hannah Ake";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Dissolved N2O and aquatic nutrient concentrations from 4 field sites in Bogue Sound, North Carolina collected from 2014 to 2015.";
    String title "Dissolved N2O and aquatic nutrient concentrations from 4 field sites in Bogue Sound, North Carolina collected from 2014 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
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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