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Dataset Title:  Gridded in-situ profiles from glider deployments in the San Pedro Channel, CA
in 2013 and 2014
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_751128)
Range: longitude = -118.5166 to -118.33291°E, latitude = 33.4642 to 33.69088°N, depth = 1.0 to 80.0m, time = 2013-03-12T21:39:53Z to (now?)
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 {
  BINID {
    Int32 _FillValue 2147483647;
    Int32 actual_range 10609, 620615;
    String bcodmo_name "nbin";
    String description "Bin identifier";
    String long_name "BINID";
    String units "unitless";
  }
  DATENUM_GMT {
    Float64 _FillValue NaN;
    Float64 actual_range 735305.902704863, 735786.405629279;
    String bcodmo_name "DateTime";
    String description "Matlab datenum (Greenwich Mean Time)";
    String long_name "DATENUM GMT";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.363124393e+9, NaN;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Timestamp (UTC) in standard ISO 8601:2004(E) format yyyy-mm-ddTHH:MM:SSZ";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  YEAR {
    Int16 _FillValue 32767;
    Int16 actual_range 2013, 2014;
    String bcodmo_name "year";
    String description "Year in format yyyy";
    String long_name "YEAR";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 33.4642, 33.69088;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -118.5166, -118.33291;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 80.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  CHL {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 31.919;
    String bcodmo_name "chlorophyll a";
    String description "Chlorophyll a fluorescence";
    String long_name "CHL";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "milligrams per meter cubed (mg/m^3)";
  }
  TEMP {
    Float32 _FillValue NaN;
    Float32 actual_range 9.524, 21.869;
    String bcodmo_name "temperature";
    String description "Water temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius (C)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Glider deployment:  
 For this study, a slocum glider was deployed between March and July in 2013
and 2014 in the San Pedro Channel, located in the Southern California Bight
off the coast of Los Angeles. The glider was deployed on a 28 km cross-channel
path between Catalina Island and the Palos Verdes Peninsula and completed a
single cross-channel pass every 1.5\\u20132 days (average speed 1 km h\\u22121).
Data were collected between \\u223c 3 and 90 m, with the exception of when the
glider crossed the major shipping lanes where the glider was constrained to
depths below 20 m to avoid damage or loss from ship traffic.
 
The GMT time stamp indicates the earliest time stamp for data binned within a
single profile.
 
Glider deployments were from small boats belonging to the USC Wrigley Marine
Sciences Center or from the R/V Yellowfin.
 
Instruments:  
 Teledyne Webb G1 Slocum electric gliders equipped with a WET Labs EcoPuck
FL3 fluorometer (used for Chlorophyll a fluorescence), a WET Labs EcoPuck BB3
sensor (used for backscatter at wavelengths of 532, 660, and 880 nm), and a
Sea-Bird flow-through CTD (used for temperature, salinity, and pressure).
 
For more methodology information see Teel et al., 2018.";
    String awards_0_award_nid "675312";
    String awards_0_award_number "OCE-1260296";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1260296";
    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 "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String awards_1_award_nid "675319";
    String awards_1_award_number "OCE-1260692";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1260692";
    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 "Henrietta N Edmonds";
    String awards_1_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Gridded glider data 
  PI: William Haskell 
  Data version 1: 2018-12-19";
    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 "2018-12-14T18:13:56Z";
    String date_modified "2019-11-21T17:26:21Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.751128.1";
    Float64 Easternmost_Easting -118.33291;
    Float64 geospatial_lat_max 33.69088;
    Float64 geospatial_lat_min 33.4642;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -118.33291;
    Float64 geospatial_lon_min -118.5166;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 80.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-12-04T17:30:29Z (local files)
2020-12-04T17:30:29Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_751128.das";
    String infoUrl "https://www.bco-dmo.org/dataset/751128";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD Sea-Bird";
    String instruments_0_dataset_instrument_description "Sea-Bird flow-through CTD (used for temperature, salinity, and pressure)";
    String instruments_0_dataset_instrument_nid "751422";
    String instruments_0_description "Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_0_instrument_name "CTD Sea-Bird";
    String instruments_0_instrument_nid "447";
    String instruments_0_supplied_name "Sea-Bird flow-through CTD";
    String instruments_1_acronym "Fluorometer";
    String instruments_1_dataset_instrument_description "WET Labs EcoPuck FL3 fluorometer (used for Chlorophyll a fluorescence).";
    String instruments_1_dataset_instrument_nid "751420";
    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 "WET Labs EcoPuck FL3";
    String instruments_2_acronym "OBS";
    String instruments_2_dataset_instrument_description "WET Labs EcoPuck BB3 sensor (used for backscatter at wavelengths of 532, 660, and 880 nm)";
    String instruments_2_dataset_instrument_nid "751421";
    String instruments_2_instrument_name "Optical Backscatter Sensor";
    String instruments_2_instrument_nid "686843";
    String instruments_2_supplied_name "WET Labs EcoPuck BB3";
    String keywords "bco, bco-dmo, binid, biological, chemical, chl, chlorophyll, data, dataset, date, datenum, DATENUM_GMT, depth, dmo, erddap, iso, ISO_DateTime_UTC, latitude, longitude, management, oceanography, office, preliminary, TEMP, temperature, time, year";
    String license "https://www.bco-dmo.org/dataset/751128/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/751128";
    Float64 Northernmost_Northing 33.69088;
    String param_mapping "{'751128': {'LAT': 'flag - latitude', 'DEPTH': 'flag - depth', 'LON': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/751128/parameters";
    String people_0_affiliation "University of California-Santa Barbara";
    String people_0_affiliation_acronym "UCSB-MSI";
    String people_0_person_name "William Haskell";
    String people_0_person_nid "675339";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Southern California";
    String people_1_affiliation_acronym "USC";
    String people_1_person_name "Douglas Hammond";
    String people_1_person_nid "50733";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Pomona College";
    String people_2_affiliation_acronym "Pomona";
    String people_2_person_name "Maria Prokopenko";
    String people_2_person_nid "675316";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "King Abdullah University of Science and Technology";
    String people_3_affiliation_acronym "KAUST";
    String people_3_person_name "Burton Jones";
    String people_3_person_nid "50543";
    String people_3_role "Scientist";
    String people_3_role_type "originator";
    String people_4_affiliation "University of Southern California";
    String people_4_affiliation_acronym "USC";
    String people_4_person_name "Naomi M Levine";
    String people_4_person_nid "51634";
    String people_4_role "Scientist";
    String people_4_role_type "originator";
    String people_5_affiliation "University of Southern California";
    String people_5_affiliation_acronym "USC";
    String people_5_person_name "Elizabeth N. Teel";
    String people_5_person_nid "751136";
    String people_5_role "Student";
    String people_5_role_type "related";
    String people_6_affiliation "King Abdullah University of Science and Technology";
    String people_6_affiliation_acronym "KAUST";
    String people_6_person_name "Burton Jones";
    String people_6_person_nid "50543";
    String people_6_role "Contact";
    String people_6_role_type "related";
    String people_7_affiliation "University of Southern California";
    String people_7_affiliation_acronym "USC";
    String people_7_person_name "Elizabeth N. Teel";
    String people_7_person_nid "751136";
    String people_7_role "Contact";
    String people_7_role_type "related";
    String people_8_affiliation "Woods Hole Oceanographic Institution";
    String people_8_affiliation_acronym "WHOI BCO-DMO";
    String people_8_person_name "Amber York";
    String people_8_person_nid "643627";
    String people_8_role "BCO-DMO Data Manager";
    String people_8_role_type "related";
    String project "UpRISEE O2 upwelling";
    String projects_0_acronym "UpRISEE O2 upwelling";
    String projects_0_description 
"The marine biological pump is one of the primary pathways via which anthropogenic carbon dioxide may be sequestered from the atmosphere and exported to the deep ocean as organic carbon. While the link between nutrient supply and high primary productivity in upwelling regions is well established, factors controlling the organic carbon export efficiency of upwelling ecosystems are not well known. Scientists from the University of Southern California and Pomona College plan to determine the factors that control the rates and magnitudes of two components of biological production, Net Community Production (NCP) and Gross Primary Production (GPP), as well as particulate organic carbon export efficiency, at the San Pedro Ocean Time Series, a coastal site in the California Borderland during periods of minimal and high upwelling velocity over a 2-year span. At this site, past and ongoing observations of hydrography and carbon rain will provide an historical context for interpreting results and mechanisms at work.
Rates of NCP and GPP will be quantified at different upwelling intensity, using dissolved oxygen to argon (O2/Ar) ratios and the oxygen triple isotope composition of dissolved oxygen (O2). The export of organic carbon will be established using 234Th (thorium) profiles in the water column, coupled with floating sediment trap deployments, and the development of a carbon isotope balance for the water column. Upwelling will be characterized using non-steady state budgets for atmospheric 7Be (beryllium) input and its depth-integrated decay, as well as estimating rates based on remote measurements of wind stress curl and budgets for dissolved inorganic carbon and silicon. Application of the O2/Ar ratio and the oxygen triple isotope approach will require depth-integrated profiles of these tracers to evaluate the impact of upwelling on mixed layer inputs and use of non-steady state models during seasonal transitions in upwelling. The comprehensive data set to be obtained should provide insights into the organic carbon export efficiency under variable upwelling regimes and help to relate the satellite-based measurements of chlorophyll to the organic carbon export of these highly productive ecosystems.
Broader Impacts: One graduate and one undergraduate student from the University of Southern California and two undergraduate students from Pomona College would be supported and trained as part of this project.";
    String projects_0_end_date "2017-03";
    String projects_0_geolocation "Northeast Pacific Ocean";
    String projects_0_name "Collaborative Research: Use of Triple Oxygen Isotopes and O2/Ar to constrain Net/Gross Oxygen Production during upwelling and non-upwelling periods in a Coastal Setting";
    String projects_0_project_nid "675313";
    String projects_0_start_date "2013-04";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 33.4642;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset includes chlorophyll a fluorescence and water temperature from gridded in-situ profiles from a slocum glider deployed between March and July in 2013 and 2014 in the San Pedro Channel, located in the Southern California Bight off the coast of Los Angeles.";
    String time_coverage_start "2013-03-12T21:39:53Z";
    String title "Gridded in-situ profiles from glider deployments in the San Pedro Channel, CA in 2013 and 2014";
    String version "1";
    Float64 Westernmost_Easting -118.5166;
    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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