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Dataset Title:  [CTD data post-hurricane Ian] - CTD data collected for surface and bottom
samples from all five stations along the transect from Charlotte Harbor to
offshore in southwest Florida from May to September 2023 (RAPID: Collaborative
Research: Unprecedented Hurricane Ian Nutrient and Organic Matter Inputs to
Southwest Florida Coastal Waters) Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_1004016_v1)
Range: longitude = -82.4424 to -82.1404°E, latitude = 26.5107 to 26.90528°N, depth = 0.397 to 17.682m, time = 2023-05-02T17:41:45Z to 2023-09-07T12:51:01Z
Information:  Summary ? | License ? | FGDC | 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 {
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  Scan {
    Int32 actual_range 124, 3567;
    String long_name "Scan";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.683049305e+9, 1.694091061e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  ISO_DateTime_Local {
    String long_name "Iso_datetime_local";
    String units "unitless";
  }
  PrdM {
    Float32 actual_range 0.4, 17.8;
    String long_name "Prdm";
    String units "db";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 26.5107, 26.90528;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -82.4424, -82.1404;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  DNMEA {
    Float32 actual_range 0.4, 17.8;
    String long_name "Dnmea";
    String units "m";
  }
  Tv290C {
    Float32 actual_range 25.6599, 31.5858;
    String long_name "Tv290c";
    String units "degrees Celsius";
  }
  C0S_m {
    Float32 actual_range 2.778053, 6.344168;
    String long_name "C0s_m";
    String units "Siemens m-1";
  }
  FlECO_AFL {
    Float32 actual_range 0.2075, 36.5177;
    String long_name "Fleco_afl";
    String units "mg L-1";
  }
  TurbWETntu0 {
    Float32 actual_range 0.1055, 12.8606;
    String long_name "Turbwetntu0";
    String units "NTU";
  }
  Sbeox0V {
    Float32 actual_range 1.1147, 3.0029;
    String long_name "Sbeox0v";
    String units "volts (V)";
  }
  Par_sat_log {
    Float32 actual_range 1.91, 1680.0;
    String long_name "Par_sat_log";
    String units "umol photons m-2 s-1";
  }
  Ph {
    Float32 actual_range 7.654, 8.192;
    String long_name "Ph";
    String units "unitless";
  }
  Sal00 {
    Float32 actual_range 15.7408, 37.2328;
    String long_name "Sal00";
    String units "PSU";
  }
  Sigma_t00 {
    Float32 actual_range 7.7375, 24.0799;
    String long_name "Sigma_t00";
    String units "kg/m^3 – 1000";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.397, 17.682;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depsm";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  OxsatMg_L {
    Float32 actual_range 5.9941, 7.05682;
    String long_name "Oxsatmg_l";
    String units "mg L-1";
  }
  Potemp090C {
    Float32 actual_range 25.6597, 31.5822;
    String long_name "Potemp090c";
    String units "degrees Celsius";
  }
  Sbeox0Mg_L {
    Float32 actual_range 1.9589, 6.9622;
    String long_name "Sbeox0mg_l";
    String units "mg L-1";
  }
  Sbeox0PS {
    Float32 actual_range 29.786, 104.86;
    String long_name "Sbeox0ps";
    String units "percent";
  }
  Dz_dtM {
    Float32 actual_range -0.072, 0.29;
    String long_name "Dz_dtm";
    String units "m s-1";
  }
  Nbin {
    Int32 actual_range 1, 28;
    String long_name "Nbin";
    String units "unitless";
  }
  Flag {
    Float32 actual_range 0.0, 0.0;
    String long_name "Flag";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.1004016.1";
    Float64 Easternmost_Easting -82.1404;
    Float64 geospatial_lat_max 26.90528;
    Float64 geospatial_lat_min 26.5107;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -82.1404;
    Float64 geospatial_lon_min -82.4424;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 17.682;
    Float64 geospatial_vertical_min 0.397;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-09-27T22:30:08Z (local files)
2026-09-27T22:30:08Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_1004016_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1004016";
    String institution "BCO-DMO";
    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.";
    Float64 Northernmost_Northing 26.90528;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 26.5107;
    String summary "This RAPID project, a collaboration between C. Heil and E. Hall (Mote Marine Laboratory) and P. Glibert and M. Li (University of Maryland Center for Environmental Science), examined the overarching hypothesis that the massive terrestrial inorganic and organic carbon and nutrient inputs to the southwest Florida coastal and shelf region from Hurricane Ian were priming this oligotrophic system for extensive phytoplankton blooms as well as significant changes in carbon chemistry and nutrient cycling that will lead to longer term regional hypoxia and anoxia.  We measured a suite of water quality, carbon and nutrient parameters, as well as carbon and nutrient cycling at stations in Charlotte Harbor and the adjacent inner WFS system over four sampling efforts (May 2023, August 2023, September 2023 and October 2024) to examine how fast changes and recovery occurs in this system and the relationship of these hurricane inputs to hypoxia, anoxia and ocean acidification. This dataset includes the CTD data collected on the RV Mote from all five stations along the transect from Charlotte Harbor to offshore in southwest Florida over three of the sampling periods post-hurricane Ian (May 2023, August 2023, and September 2023). These data contribute to the understanding of how Hurricane Ian impacted biogeochemistry, blooms, and dissolved oxygen of the region.";
    String time_coverage_end "2023-09-07T12:51:01Z";
    String time_coverage_start "2023-05-02T17:41:45Z";
    String title "[CTD data post-hurricane Ian] - CTD data collected for surface and bottom samples from all five stations along the transect from Charlotte Harbor to offshore in southwest Florida from May to September 2023 (RAPID: Collaborative Research: Unprecedented Hurricane Ian Nutrient and Organic Matter Inputs to Southwest Florida Coastal Waters)";
    Float64 Westernmost_Easting -82.4424;
  }
}

 

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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