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Dataset Title:  CTD casts from the first cruise of SPIROPA project aboard the R/V Neil
Armstrong on April 27, 2018.
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_807119)
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 file_name (unitless) ?          "dar29133.cnv"    "dar29143.cnv"
 latitude (degrees_north) ?          39.6215    40.2705
  < slider >
 longitude (degrees_east) ?          -70.82983    -70.814
  < slider >
 time (ISO Date Time UTC, UTC) ?          2018-04-27T00:19:24Z    2018-04-27T10:27:54Z
  < slider >
 prDM (decibar (db)) ?          2.0    308.0
 t090C (degrees Celsius (C)) ?          0.0697    17.5374
 t190C (degrees Celsius (C)) ?          0.0689    17.5396
 c0S_m (Siemens per meter (S/m)) ?          3.360826    4.666987
 c1S_m (Siemens per meter (S/m)) ?          3.36096    4.666813
 sbeox0V (volts (V)) ?          9.0E-28    2.8368
 flECO_AFL (milligrams per meter cubed (mg/m3)) ?          -0.3564    2.4199
 turbWETntu0 (NTU) ?          9.0E-28    0.9062
 sal00_D (unitless) ?          33.2242    36.1086
 spar (unknown) ?          0.72592    108.9
 par (unknown) ?          -0.00391    21.931
 cpar (percent (%)) ?          -0.01038    67696.0
 depth (Dep SM, m) ?          1.985    305.414
  < slider >
 sal00 (unitless) ?          33.2235    36.1092
 sal11 (unitless) ?          33.2236    36.1056
 sbeox0ML_L (milliliters per liter (ml/l)) ?          9.0E-28    6.8735
 svCM (meter per second (m/s)) ?          1476.57    1516.13
 sigma_e00 (kilogram per meter cubed (kg/m3)) ?          25.8951    27.1635
 sigma_e11 (kilogram per meter cubed (kg/m3)) ?          25.8951    27.164
 flag (unitless) ?      
   - +  ?
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  file_name {
    String bcodmo_name "flag";
    String description "name of the originators file";
    String long_name "File Name";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 39.6215, 40.2705;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude with positive values indicating North";
    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 -70.82983, -70.814;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude with negative values indicating West";
    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";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.524788364e+9, 1.524824874e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time in UTC following ISO8601 format";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  prDM {
    Float32 _FillValue NaN;
    Float32 actual_range 2.0, 308.0;
    String bcodmo_name "pressure";
    String description "Pressure";
    String long_name "PR DM";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibar (db)";
  }
  t090C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0697, 17.5374;
    String bcodmo_name "temperature";
    String description "Temperature ITS-90";
    String long_name "T090 C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius (C)";
  }
  t190C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0689, 17.5396;
    String bcodmo_name "temperature";
    String description "Temperature 2 ITS-90";
    String long_name "T190 C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius (C)";
  }
  c0S_m {
    Float32 _FillValue NaN;
    Float32 actual_range 3.360826, 4.666987;
    String bcodmo_name "conductivity";
    String description "Conductivity";
    String long_name "C0 S M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "Siemens per meter (S/m)";
  }
  c1S_m {
    Float32 _FillValue NaN;
    Float32 actual_range 3.36096, 4.666813;
    String bcodmo_name "conductivity";
    String description "Conductivity 2";
    String long_name "C1 S M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "Siemens per meter (S/m)";
  }
  sbeox0V {
    Float32 _FillValue NaN;
    Float32 actual_range 9.0e-28, 2.8368;
    String bcodmo_name "O2_v";
    String description "Oxygen raw SBE 43";
    String long_name "Sbeox0 V";
    String units "volts (V)";
  }
  flECO_AFL {
    Float32 _FillValue NaN;
    Float32 actual_range -0.3564, 2.4199;
    String bcodmo_name "chl_a_fluor";
    String description "Fluorescence WET Labs ECO-AFL/FL";
    String long_name "Fl ECO AFL";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLFLPC/";
    String units "milligrams per meter cubed (mg/m3)";
  }
  turbWETntu0 {
    Float32 _FillValue NaN;
    Float32 actual_range 9.0e-28, 0.9062;
    String bcodmo_name "turbidity";
    String description "Turbidity WET Labs ECO";
    String long_name "Turb WETntu0";
    String units "NTU";
  }
  sal00_D {
    Float32 _FillValue NaN;
    Float32 actual_range 33.2242, 36.1086;
    String bcodmo_name "sal";
    String description "Practical salinity from the very first data conversion module without any further processing.";
    String long_name "Sal00 D";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "unitless";
  }
  spar {
    Float32 _FillValue NaN;
    Float32 actual_range 0.72592, 108.9;
    String bcodmo_name "SPAR";
    String description "SPAR Biospherical/Licor";
    String long_name "Spar";
    String units "unknown";
  }
  par {
    Float32 _FillValue NaN;
    Float32 actual_range -0.00391, 21.931;
    String bcodmo_name "PAR";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String description "PAR/Irradiance Biospherical/Licor";
    String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
    String units "unknown";
  }
  cpar {
    Float32 _FillValue NaN;
    Float32 actual_range -0.01038, 67696.0;
    String bcodmo_name "unknown";
    String description "CPAR/Corrected Irradiance";
    String long_name "Cpar";
    String units "percent (%)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.985, 305.414;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Depth in salt water at specified latitudes";
    String ioos_category "Location";
    String long_name "Dep SM";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  sal00 {
    Float32 _FillValue NaN;
    Float32 actual_range 33.2235, 36.1092;
    String bcodmo_name "sal";
    String description "Final practical salinity 1";
    String long_name "Sal00";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "unitless";
  }
  sal11 {
    Float32 _FillValue NaN;
    Float32 actual_range 33.2236, 36.1056;
    String bcodmo_name "sal";
    String description "Final practical salinity 2";
    String long_name "Sal11";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "unitless";
  }
  sbeox0ML_L {
    Float32 _FillValue NaN;
    Float32 actual_range 9.0e-28, 6.8735;
    String bcodmo_name "dissolved Oxygen";
    String description "Oxygen SBE 43";
    String long_name "Sbeox0 ML L";
    String units "milliliters per liter (ml/l)";
  }
  svCM {
    Float32 _FillValue NaN;
    Float32 actual_range 1476.57, 1516.13;
    String bcodmo_name "sound_vel";
    String description "Sound Velocity Chen-Millero";
    String long_name "SV CM";
    String units "meter per second (m/s)";
  }
  sigma_e00 {
    Float32 _FillValue NaN;
    Float32 actual_range 25.8951, 27.1635;
    String bcodmo_name "sigma_0";
    String description "Density sigma-theta";
    String long_name "Sigma E00";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kilogram per meter cubed (kg/m3)";
  }
  sigma_e11 {
    Float32 _FillValue NaN;
    Float32 actual_range 25.8951, 27.164;
    String bcodmo_name "sigma_0";
    String description "Density 2 sigma-theta";
    String long_name "Sigma E11";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kilogram per meter cubed (kg/m3)";
  }
  flag {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.0;
    String bcodmo_name "flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "flag";
    String long_name "Flag";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description "Standard CTD cast.";
    String awards_0_award_nid "748850";
    String awards_0_award_number "OCE-1657803";
    String awards_0_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1657803";
    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 
"CTD casts from the first cruise of SPIROPA project in April 2018 
  PI: Dennis McGillicuddy 
  Version: 2020-03-30";
    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 "2020-03-27T19:41:31Z";
    String date_modified "2020-04-08T15:03:33Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.807119.1";
    Float64 Easternmost_Easting -70.814;
    Float64 geospatial_lat_max 40.2705;
    Float64 geospatial_lat_min 39.6215;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -70.814;
    Float64 geospatial_lon_min -70.82983;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 305.414;
    Float64 geospatial_vertical_min 1.985;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2021-12-04T01:15:38Z (local files)
2021-12-04T01:15:38Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_807119.html";
    String infoUrl "https://www.bco-dmo.org/dataset/807119";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD SBE 9";
    String instruments_0_dataset_instrument_description "Sea-Bird SBE 9";
    String instruments_0_dataset_instrument_nid "807126";
    String instruments_0_description "The Sea-Bird SBE 9 is a type of CTD instrument package.  The SBE 9 is the Underwater Unit and is most often combined with the SBE 11 Deck Unit (for real-time readout using conductive wire) when deployed from a research vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911.  The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorometer, altimeter, etc.). Note that in most cases, it is more accurate to specify SBE 911 than SBE 9 since it is likely a SBE 11 deck unit was used.  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 9";
    String instruments_0_instrument_nid "488";
    String instruments_0_supplied_name "Sea-Bird SBE 9";
    String keywords "active, afl, available, bco, bco-dmo, biological, c0S_m, c1S_m, chemical, cpar, data, dataset, date, dep, depSM, dmo, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, e00, e11, earth, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, eco, erddap, file, file_name, flag, flECO_AFL, iso, latitude, longitude, management, name, ocean, oceanography, oceans, office, optics, par, photon, photosynthetic, photosynthetically, prDM, preliminary, radiance, radiation, sal00, sal00_D, sal11, sbeox0, sbeox0ML_L, sbeox0V, science, sea, seawater, sigma, sigma_e00, sigma_e11, spar, svCM, t090, t090C, t190, t190C, time, turb, turbWETntu0, v, water, wetntu0";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/807119/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/807119";
    Float64 Northernmost_Northing 40.2705;
    String param_mapping "{'807119': {'lat': 'flag - latitude', 'lon': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time', 'depSM': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/807119/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Dennis J. McGillicuddy";
    String people_0_person_nid "50429";
    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";
    String people_1_person_name "Weifeng Gordon Zhang";
    String people_1_person_nid "748839";
    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 "Mathew Biddle";
    String people_2_person_nid "708682";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "SPIROPA";
    String projects_0_acronym "SPIROPA";
    String projects_0_description 
"NSF award abstract:
The continental shelf break of the Middle Atlantic Bight supports a productive and diverse ecosystem. Current paradigms suggest that this productivity is driven by several upwelling mechanisms at the shelf break front. This upwelling supplies nutrients that stimulate primary production by phytoplankton, which in turn leads to enhanced production at higher trophic levels. Although local enhancement of phytoplankton biomass has been observed in some circumstances, such a feature is curiously absent from time-averaged measurements, both from satellites and shipboard sampling. Why would there not be a mean enhancement in phytoplankton biomass as a result of the upwelling? One hypothesis is that grazing by zooplankton prevents accumulation of biomass on seasonal and longer time scales, transferring the excess production to higher trophic levels and thereby contributing to the overall productivity of the ecosystem. However, another possibility is that the net impact of these highly intermittent processes is not adequately represented in long-term means of the observations, because of the relatively low resolution of the in-water measurements and the fact that the frontal enhancement can take place below the depth observable by satellite. The deployment of the Ocean Observatories Initiative (OOI) Pioneer Array south of New England has provided a unique opportunity to test these hypotheses. The combination of moored instrumentation and autonomous underwater vehicles will facilitate observations of the frontal system with unprecedented spatial and temporal resolution. This will provide an ideal four-dimensional (space-time) context in which to conduct a detailed study of frontal dynamics and plankton communities needed to examine mechanisms controlling phytoplankton populations in this frontal system. This project will also: (1) promote teaching, training and learning via participation of graduate and undergraduate students in the research , (2) provide a broad dissemination of information by means of outreach in public forums, printed media, and a video documentary of the field work, and (3) contribute to improving societal well-being and increased economic competitiveness by providing the knowledge needed for science-based stewardship of coastal ecosystems, with particular emphasis on connecting with the fishing industry through the Commercial Fisheries Research Foundation.
The investigators will conduct a set of three cruises to obtain cross-shelf sections of physical, chemical, and biological properties within the Pioneer Array. Nutrient distributions will be assayed together with hydrography to detect the signature of frontal upwelling and associated nutrient supply. The investigators expect that enhanced nutrient supply will lead to changes in the phytoplankton assemblage, which will be quantified with conventional flow cytometry, imaging flow cytometry (Imaging FlowCytobot, IFCB), optical imaging (Video Plankton Recorder, VPR), traditional microscopic methods, and pigment analysis. Zooplankton will be measured in size classes ranging from micro- to mesozooplankton with the IFCB and VPR, respectively, and also with microscopic analysis. Biological responses to upwelling will be assessed by measuring rates of primary productivity, zooplankton grazing, and net community production. These observations will be synthesized in the context of a coupled physical-biological model to test the two hypotheses that can potentially explain prior observations: (1) grazer-mediated control and (2) undersampling. Hindcast simulations will also be used to diagnose the relative importance of the various mechanisms of upwelling. The intellectual merit of this effort stems from our interdisciplinary approach, advanced observational techniques, and integrated analysis in the context of a state-of-the-art coupled model. The project will address longstanding questions regarding hydrodynamics and productivity of an important ecosystem, leading to improved understanding of physical-biological interactions in a complex continental shelf regime. Given the importance of frontal systems in the global coastal ocean, it is expected that knowledge gained will have broad applicability beyond the specific region being studied.";
    String projects_0_end_date "2020-09";
    String projects_0_geolocation "Shelf break south of New England, OOI Pioneer Array";
    String projects_0_name "Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications";
    String projects_0_project_nid "748894";
    String projects_0_project_website "http://science.whoi.edu/users/olga/SPIROPA/SPIROPA.html";
    String projects_0_start_date "2017-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.6215;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "flag";
    String summary "CTD casts from the first cruise of SPIROPA project in April 2018";
    String time_coverage_end "2018-04-27T10:27:54Z";
    String time_coverage_start "2018-04-27T00:19:24Z";
    String title "CTD casts from the first cruise of SPIROPA project aboard the R/V Neil Armstrong on April 27, 2018.";
    String version "1";
    Float64 Westernmost_Easting -70.82983;
    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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