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Dataset Title:  Environmental data from CTD during the Fall 2016 ESP deployment in Monterey
Bay, CA
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_756376)
Range: depth = 3.952 to 7.876m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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   Minimum:   Maximum:   N Sections: 
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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 {
  Datetime {
    String description "Date, time, and time zone";
    String ioos_category "Time";
    String long_name "Datetime";
    String units "unitless";
  }
  ISO_DateTime_Local {
    String description "Date and time (local) formatted to ISO8601 standard";
    String ioos_category "Time";
    String long_name "ISO Date Time Local";
    String source_name "ISO_DateTime_Local";
    String units "unitless";
  }
  Temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 13.113, 15.85;
    String description "Water temperature";
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  Salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 33.271, 33.577;
    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 "psu";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 3.952, 7.876;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sampling depth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Dissolved_Oxygen {
    Float32 _FillValue NaN;
    Float32 actual_range 5.22, 9.7;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "Dissolved oxygen concentration";
    String ioos_category "Dissolved O2";
    String long_name "Volume Fraction Of Oxygen In Sea Water";
    String units "millilters per liter (ml/L)";
  }
  Chlorophyll {
    Float32 _FillValue NaN;
    Float32 actual_range 4.68, 38.05;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "Chlorophyll a";
    String ioos_category "Ocean Color";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String units "micrograms per liter (ug/L)";
  }
  Light_Transmission {
    Float32 _FillValue NaN;
    Float32 actual_range 1.47, 91.53;
    String description "Percent light transmission";
    String ioos_category "Optical Properties";
    String long_name "Light Transmission";
    String units "unitless (percent)";
  }
  Metagenome_Sample_Name {
    String description "Metagenome Sample Name";
    String ioos_category "Unknown";
    String long_name "Metagenome Sample Name";
    String units "unitless";
  }
  Metatranscriptome_Sample_Name {
    String description "Metatranscriptome Sample Name";
    String ioos_category "Unknown";
    String long_name "Metatranscriptome Sample Name";
    String units "unitless";
  }
  Ribosomal_16S_iTag_Sample_Name {
    String description "16S Ribosomal iTag Sample Name";
    String ioos_category "Unknown";
    String long_name "Ribosomal 16 S I Tag Sample Name";
    String units "unitless";
  }
  Ribosomal_18S_iTag_Sample_Name {
    String description "18S Ribosomal iTag Sample Name";
    String ioos_category "Unknown";
    String long_name "Ribosomal 18 S I Tag Sample Name";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"The CTD was moored next to the Environmental Sample Processor (ESP) and
sampled seawater ~ every 2.5 minutes while the ESP was filtering seawater. The
ESP was located\\u00a0near Station M0 (36.835 N, 121.901W).";
    String awards_0_award_nid "541254";
    String awards_0_award_number "OCE-1342694";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1342694";
    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 
"CTD Data from 2016 ESP Deployment 
   in Monterey Bay, CA 
  PI: Mary Ann Moran (University of Georgia) 
  Version date: 20-Feb-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 "2019-02-20T18:29:11Z";
    String date_modified "2019-04-17T17:33:10Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.756376.1";
    Float64 geospatial_vertical_max 7.876;
    Float64 geospatial_vertical_min 3.952;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2019-06-25T09:25:24Z (local files)
2019-06-25T09:25:24Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_756376.das";
    String infoUrl "https://www.bco-dmo.org/dataset/756376";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD SEACAT";
    String instruments_0_dataset_instrument_nid "756379";
    String instruments_0_description "The CTD SEACAT recorder is an instrument package manufactured by Sea-Bird Electronics. The first Sea-Bird SEACAT Recorder was the original SBE 16 SEACAT developed in 1987. There are several model numbers including the SBE 16plus (SEACAT C-T Recorder (P optional))and the SBE 19 (SBE 19plus SEACAT Profiler measures conductivity, temperature, and pressure (depth)). More information from Sea-Bird Electronics.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/350/";
    String instruments_0_instrument_name "CTD Sea-Bird SEACAT";
    String instruments_0_instrument_nid "479";
    String instruments_0_supplied_name "SBE 16plus CTD";
    String instruments_1_acronym "Fluorometer";
    String instruments_1_dataset_instrument_nid "756380";
    String instruments_1_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_1_instrument_name "Fluorometer";
    String instruments_1_instrument_nid "484";
    String instruments_1_supplied_name "Turner Cyclops 7 fluorometer";
    String keywords "bco, bco-dmo, biological, chemical, chemistry, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, data, dataset, date, datetime, density, depth, dissolved, dissolved o2, Dissolved_Oxygen, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Oxygen, Earth Science > Oceans > Salinity/Density > Salinity, erddap, fraction, iso, light, Light_Transmission, local, management, metagenome, Metagenome_Sample_Name, metatranscriptome, Metatranscriptome_Sample_Name, name, O2, ocean, ocean color, oceanography, oceans, office, optical, optical properties, oxygen, practical, preliminary, properties, ribosomal, Ribosomal_16S_iTag_Sample_Name, Ribosomal_18S_iTag_Sample_Name, salinity, sample, science, sea, sea_water_practical_salinity, seawater, tag, temperature, time, transmission, volume, volume_fraction_of_oxygen_in_sea_water, 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/756376";
    String param_mapping "{'756376': {'Depth': 'master - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/756376/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 "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere";
    String projects_0_acronym "OceanSulfurFluxBact";
    String projects_0_description 
"Surface ocean bacterioplankton preside over a divergence point in the marine sulfur cycle where the fate of dimethylsulfoniopropionate (DMSP) is determined. While it is well recognized that this juncture influences the fate of sulfur in the ocean and atmosphere, its regulation by bacterioplankton is not yet understood. Based on recent findings in biogeochemistry, bacterial physiology, bacterial genetics, and ocean instrumentation, the microbial oceanography community is poised to make major advances in knowledge of this control point. This research project is ascertaining how the major taxa of bacterial DMSP degraders in seawater regulate DMSP transformations, and addresses the implications of bacterial functional, genetic, and taxonomic diversity for global sulfur cycling.
The project is founded on the globally important function of bacterial transformation of the ubiquitous organic sulfur compound DMSP in ocean surface waters. Recent genetic discoveries have identified key genes in the two major DMSP degradation pathways, and the stage is now set to identify the factors that regulate gene expression to favor one or the other pathway during DMSP processing. The taxonomy of the bacteria mediating DMSP cycling has been deduced from genomic and metagenomic sequencing surveys to include four major groups of surface ocean bacterioplankton. How regulation of DMSP degradation differs among these groups and maps to phylogeny in co-occurring members is key information for understanding the marine sulfur cycle and predicting its function in a changing ocean. Using model organism studies, microcosm experiments (at Dauphin Island Sea Lab, AL), and time-series field studies with an autonomous sample collection instrument (at Monterey Bay, CA), this project is taking a taxon-specific approach to decipher the regulation of bacterial DMSP degradation.
This research addresses fundamental questions of how the diversity of microbial life influences the geochemical environment of the oceans and atmosphere, linking the genetic basis of metabolic potential to taxonomic diversity. The project is training graduate students and post-doctoral scholars in microbial biodiversity and providing research opportunities and mentoring for undergraduate students. An outreach program is enhance understanding of the role and diversity of marine microorganisms in global elemental cycles among high school students. Advanced Placement Biology students are participating in marine microbial research that covers key learning goals in the AP Biology curriculum. Two high school students are selected each year for summer research internships in PI laboratories.";
    String projects_0_end_date "2018-12";
    String projects_0_name "Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere";
    String projects_0_project_nid "541255";
    String projects_0_start_date "2014-01";
    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 "Environmental data from CTD during the Fall 2016 ESP deployment in Monterey Bay, CA. The CTD was moored next to the Environmental Sample Processor (ESP) and sampled seawater ~ every 2.5 minutes while the ESP was filtering seawater. The ESP was located near Station M0 (36.835 N, 121.901W).";
    String title "Environmental data from CTD during the Fall 2016 ESP deployment in Monterey Bay, CA";
    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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