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Dataset Title:  Dissolved organic carbon (DOC) and salinity data from seasonal collections/
incubations, Doboy Sound, Sapelo Island, GA, July and October 2014
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_735806)
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 {
  date {
    String bcodmo_name "date";
    String description "sample collection month and year formatted as yyyy-mm";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String time_precision "1970-01";
    String units "unitless";
  }
  sample {
    String bcodmo_name "sample";
    String description "sample identifier";
    String long_name "Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  DOC_uM {
    Float64 _FillValue NaN;
    Float64 actual_range 185.5, 328.0;
    String bcodmo_name "DOC";
    String description "Concentration of dissolved organic carbon";
    String long_name "DOC U M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "microMol";
  }
  Salinity_psu {
    Byte _FillValue 127;
    Byte actual_range 27, 33;
    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";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"DOM was collected in Doboy Sound off the southeastern U.S. in July and October
2014. Six 20 L carboys were filled with water and wrapped in black plastic.
Three were processed immediately, while the remaining three were returned to
Doboy Sound for a 24 h dark incubation before processing by an identical
protocol. This experimental scheme was carried out twice during each sampling
event, once at high tide (HT) and once at low tide (LT). Immediately after
collection, samples were filtered (using 0.7 \\u03bcm Whatman GF/F filters pre-
combusted at 450\\u00b0C for 5 h and pre-washed 0.2 \\u03bcm Pall Supor membrane
filters), and aliquots were stored frozen for DOC analysis. Filtrates were
acidified to pH 2, and DOM was isolated using solid phase extraction (SPE)
cartridges (Agilent Bond Elut PPL) as in Dittmar et al. (2008).
 
DOC concentrations from water samples and extracts (i.e., dried and
resuspended in ultrapure water) were measured with a Shimadzu TOC-VCPH
analyzer. SPE efficiency across all samples was 71\\u00b14% of the DOC.";
    String awards_0_award_nid "505523";
    String awards_0_award_number "OCE-1356010";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1356010";
    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 "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"SIMCO - DOC and salinity - 2014 
   M. A. Moran (UGA) 
   version: 2018-05-10 
     Surface water from Doboy Sound, Sapelo Island, GA, USA 
     HT: high tide; LT: low tide";
    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 "2018-05-10T16:39:21Z";
    String date_modified "2019-12-09T20:39:02Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.735806.1";
    String history 
"2024-03-28T13:10:07Z (local files)
2024-03-28T13:10:07Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_735806.das";
    String infoUrl "https://www.bco-dmo.org/dataset/735806";
    String institution "BCO-DMO";
    String instruments_0_acronym "Shimadzu TOC-V";
    String instruments_0_dataset_instrument_description "DOC concentrations measured";
    String instruments_0_dataset_instrument_nid "735813";
    String instruments_0_description "A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.";
    String instruments_0_instrument_external_identifier "http://onto.nerc.ac.uk/CAST/124";
    String instruments_0_instrument_name "Shimadzu TOC-V Analyzer";
    String instruments_0_instrument_nid "603";
    String instruments_0_supplied_name "Shimadzu TOC-VCPH analyzer";
    String keywords "bco, bco-dmo, biological, chemical, commerce, data, dataset, date, density, department, dmo, doc, DOC_uM, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, management, ocean, oceanography, oceans, office, practical, preliminary, salinity, Salinity_psu, sample, science, sea, sea_water_practical_salinity, seawater, time, u, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/735806/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/735806";
    String param_mapping "{'735806': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/735806/parameters";
    String people_0_affiliation "University of Georgia";
    String people_0_affiliation_acronym "UGA";
    String people_0_person_name "Mary Ann Moran";
    String people_0_person_nid "51592";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Georgia";
    String people_1_affiliation_acronym "UGA";
    String people_1_person_name "Dr Patricia  M Medeiros";
    String people_1_person_nid "472755";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "SIMCO";
    String projects_0_acronym "SIMCO";
    String projects_0_description 
"Description from NSF award abstract:
Long-standing questions regarding the fate of dissolved organic carbon (DOC) in coastal oceans require a better understanding of the network that links bacterioplankton metabolism with carbon transformation. These questions address uncertainties about the composition of the bioreactive DOC components transformed in ocean margins, and the role of bacterial taxonomic and genetic composition in determining the fate of DOC.
This project will infuse a new type of data into coastal carbon cycle research based on high-resolution chemical analysis coupled with bacterial gene expression measures. It will extend DOC process studies down to the single-compound level and bacterial activity studies down to the single-gene level, and integrate this information into existing bioinformatic resources for biogeochemical and modeling applications.
The specific goals of this project are:
1) To reconstruct major components of the network linking DOC composition, DOC turnover, and bacterial heterotrophy in the coastal ocean (the composition of the DOC pool, the major bioreactive components, the bacterioplankton taxa mediating transformations, and the bacterial genes and pathways responsible).
2) To test hypothesized network links for selected DOC compounds using a simplified system that queries individual DOC compounds against a complex natural microbial community.
3) To test hypothesized network links for marine bacteria using a simplified system that queries a single generalist heterotrophic bacteria against a complex natural DOC pool.
4) To verify predicted DOC-gene linkages that are most informative about heterotrophic activities of bacterioplankton.
This research addresses fundamental questions on bacterial mediation of organic carbon fate in the ocean and atmosphere. As such, these investigations linking the chemical changes in dissolved organic carbon with patterns of gene expression in coastal bacterioplankton communities will be of interest to scientists across several disciplines.
---------------------------
Note: The project acronym, SIMCO, means \"Sapelo Island Microbial Carbon Observatory\".";
    String projects_0_end_date "2016-12";
    String projects_0_geolocation "Southeastern U.S. coastal ocean, 31.4° N Lat, 81.3° W Lon";
    String projects_0_name "High Resolution Linkages Between DOC Turnover and Bacterioplankton in a Coastal Ocean";
    String projects_0_project_nid "472758";
    String projects_0_start_date "2014-01";
    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 "DOC from field and incubation collections of estuarine waters near Sapelo Island, GA in July and October 2014 was analyzed for chemical concentrations. Analysis of the dissolved organic carbon pool retrieved by solid-phase extraction (PPL resin) was analyzed to determine organic carbon concentrations (by TOC Analyzer; Shimadzu).";
    String title "Dissolved organic carbon (DOC) and salinity data from seasonal collections/incubations, Doboy Sound, Sapelo Island, GA, July and October 2014";
    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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