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Dataset Title:	Water Quality Virtual Buoys (Satellite) - Culebra (CUL01)
Institution:	CARICOOS IOOS (Dataset ID: East_Region_a32e_b358_851c)
Range:	longitude = -65.299 to -65.299°E, latitude = 18.266 to 18.266°N, depth = -25.0 to -25.0m, time = 2000-01-05T12:00:00Z to 2025-12-17T12:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| 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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 9.470736e+8, 1.7659728e+9;
    String axis "T";
    String calendar "gregorian";
    String Description "Time at middle of week (Wednesday 12:00:00)";
    String ioos_category "Time";
    String long_name "Time";
    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 -999;
    Int16 actual_range 2000, 2025;
    String Description "Year";
    String ioos_category "Time";
    String long_name "Year";
    String units "year";
  }
  week {
    Byte _FillValue -1;
    String _Unsigned "false";
    Byte actual_range 1, 52;
    String Description "Week of year (1-52, week 1 starts Jan 1)";
    String ioos_category "Unknown";
    String long_name "Week";
    String units "week";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -65.299, -65.299;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String Description "Longitude";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 18.266, 18.266;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String Description "Latitude";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range -25.0, -25.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String Description "Depth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  sst {
    Float32 _FillValue -999.0;
    Float32 actual_range -7633.56, 30.688;
    String Alt_products "sst";
    String Alt_sats "ATVW";
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
  }
  sst_quality_flag {
    Byte _FillValue -1;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String Description "QUARTOD quality flag for SST (physical thresholds + 3×STD outlier detection)";
    String flag_1_description "Good data that passed all quality control tests";
    String flag_2_description "Not evaluated";
    String flag_3_description "Questionable data - statistical outliers or physical threshold violations";
    String flag_4_description "Bad data";
    String flag_9_description "Missing data (NaN values)";
    String flag_meanings "good not_evaluated questionable bad missing";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Quality Flag";
    String outlier_method "Physical range thresholds + 3×STD (mean ± 3×standard_deviation) on weekly time series";
    String physical_thresholds "22°C ≤ valid ≤ 34°C";
    String references "IOOS QUARTOD";
    String standard_name "quality_flag";
    Byte valid_range 1, 9;
  }
  chlor_a {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.076238, 1.51027;
    String Alt_products "chlor_a";
    String Alt_sats "AVW";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String ioos_category "Ocean Color";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String standard_name "concentration_of_chlorophyll_in_sea_water";
  }
  chlor_a_quality_flag {
    Byte _FillValue -1;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String Description "QUARTOD quality flag for Chlorophyll-a (physical thresholds + 3×STD outlier detection)";
    String flag_1_description "Good data that passed all quality control tests";
    String flag_2_description "Not evaluated";
    String flag_3_description "Questionable data - statistical outliers or physical threshold violations";
    String flag_4_description "Bad data";
    String flag_9_description "Missing data (NaN values)";
    String flag_meanings "good not_evaluated questionable bad missing";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Quality Flag";
    String outlier_method "Physical range thresholds + 3×STD (mean ± 3×standard_deviation) on weekly time series";
    String physical_thresholds "0 ≤ valid ≤ 2 mg m⁻³";
    String references "IOOS QUARTOD";
    String standard_name "quality_flag";
    Byte valid_range 1, 9;
  }
  par {
    Float32 _FillValue -999.0;
    Float32 actual_range -10894.0, 60.658;
    String Alt_products "par";
    String Alt_sats "AVW";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Optical Properties";
    String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
    String standard_name "downwelling_photosynthetic_photon_radiance_in_sea_water";
  }
  par_quality_flag {
    Byte _FillValue -1;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String Description "QUARTOD quality flag for PAR (physical thresholds + 3×STD outlier detection)";
    String flag_1_description "Good data that passed all quality control tests";
    String flag_2_description "Not evaluated";
    String flag_3_description "Questionable data - statistical outliers or physical threshold violations";
    String flag_4_description "Bad data";
    String flag_9_description "Missing data (NaN values)";
    String flag_meanings "good not_evaluated questionable bad missing";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Quality Flag";
    String outlier_method "Physical range thresholds + 3×STD (mean ± 3×standard_deviation) on weekly time series";
    String physical_thresholds "37 ≤ valid ≤ 63 Ein m⁻² day⁻¹";
    String references "IOOS QUARTOD";
    String standard_name "quality_flag";
    Byte valid_range 1, 9;
  }
  Kd_488_lee {
    Float32 _FillValue -999.0;
    Float32 actual_range -148.199, 1.11053;
    String Alt_products "Kd_488_lee";
    String Alt_sats "AVW";
    String ioos_category "Unknown";
    String long_name "Kd 488 Lee";
  }
  Kd_488_lee_quality_flag {
    Byte _FillValue -1;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String Description "QUARTOD quality flag for Kd(488) (physical thresholds + 3×STD outlier detection)";
    String flag_1_description "Good data that passed all quality control tests";
    String flag_2_description "Not evaluated";
    String flag_3_description "Questionable data - statistical outliers or physical threshold violations";
    String flag_4_description "Bad data";
    String flag_9_description "Missing data (NaN values)";
    String flag_meanings "good not_evaluated questionable bad missing";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Quality Flag";
    String outlier_method "Physical range thresholds + 3×STD (mean ± 3×standard_deviation) on weekly time series";
    String physical_thresholds "0 ≤ valid ≤ 0.4 m⁻¹";
    String references "IOOS QUARTOD";
    String standard_name "quality_flag";
    Byte valid_range 1, 9;
  }
  turbidity_tb {
    Float32 _FillValue -999.0;
    Float32 actual_range 7.68995e-4, 10.5425;
    String Alt_products "turbidity_tb";
    String Alt_sats "ATVW";
    String ioos_category "Unknown";
    String long_name "Turbidity Tb";
  }
  turbidity_tb_quality_flag {
    Byte _FillValue -1;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String Description "QUARTOD quality flag for Turbidity (physical thresholds + 3×STD outlier detection)";
    String flag_1_description "Good data that passed all quality control tests";
    String flag_2_description "Not evaluated";
    String flag_3_description "Questionable data - statistical outliers or physical threshold violations";
    String flag_4_description "Bad data";
    String flag_9_description "Missing data (NaN values)";
    String flag_meanings "good not_evaluated questionable bad missing";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Quality Flag";
    String outlier_method "Physical range thresholds + 3×STD (mean ± 3×standard_deviation) on weekly time series";
    String physical_thresholds "0 ≤ valid ≤ 6 NTU";
    String references "IOOS QUARTOD";
    String standard_name "quality_flag";
    Byte valid_range 1, 9;
  }
 }
  NC_GLOBAL {
    Float32 Box_size 8.0;
    String cdm_data_type "Point";
    String comment "Implemented by Edward Cruz Garcia (edward.cruz@upr.edu). Data processing: Weekly data from text files with QC applied.";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String Created_by "Dr. Brian Barnes (bbarnes4@usf.edu)";
    String creator_email "caricoos@gmail.com";
    String creator_name "CARICOOS IOOS";
    String creator_type "institution";
    String creator_url "https://www.caricoos.org/";
    String Data_Processing "Weekly data read from text files, QC applied (climatological 3×STD + physical thresholds). Climatology from: http://caricoos-web.s3-website-us-east-1.amazonaws.com/ocean/water_quality/observation/satellite/USF_Virtual_Buoys/Climatologies/";
    String Data_Source "Weekly averaged data from USF virtual buoys text files";
    Float32 Depth -25.0;
    Float64 Easternmost_Easting 18.266;
    String featureType "Point";
    String File_Date_Created "16-Dec-2025";
    Float64 geospatial_lat_max 18.266;
    Float64 geospatial_lat_min 18.266;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.299;
    Float64 geospatial_lon_min -65.299;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max -25.0;
    Float64 geospatial_vertical_min -25.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"Optical Oceanography Laboratory (OOL) University of South Florida
2025-12-17T11:06:52Z (local files)
2025-12-17T11:06:52Z http://dm3.caricoos.org/tabledap/East_Region_a32e_b358_851c.das";
    String infoUrl "https://www.caricoos.org/";
    String institution "CARICOOS IOOS";
    String keywords "active, applied, available, caricoos, chemistry, chlor_a, chlor_a_quality_flag, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, control, cruz, data, depth, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, edward, edward.cruz, files, flag, garcia, implemented, integrated, ioos, Kd_488_lee, Kd_488_lee_quality_flag, latitude, lee, longitude, observing, ocean, ocean color, oceans, optical, optical properties, optics, par, par_quality_flag, photon, photosynthetic, photosynthetically, processing, properties, quality, quality_flag, radiance, radiation, science, sea, seawater, sst, sst_quality_flag, surface, system, temperature, text, time, turbidity, turbidity_tb, turbidity_tb_quality_flag, upr.edu, water, week, weekly, with, year";
    String keywords_vocabulary "GCMD Science Keywords";
    Float32 Latitude -65.299;
    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 Long_name "Canal Luis Peña Culebra 01";
    Float32 Longitude 18.266;
    Float64 Northernmost_Northing -65.299;
    String Outlier_Detection_Method "Climatological 3×STD: Values beyond week-of-year climatology (mean ± 3×std) flagged as questionable (flag 3). Falls back to global 3×STD if climatology unavailable.";
    String Physical_Thresholds "SST: 22-34°C, PAR: 37-63, Chlor-a: 0-2, Turbidity: 0-6, Kd(488): 0-0.4";
    String Processing_Order "1) Read weekly data from text files, 2) Align variables by year/week, 3) Load climatology from S3, 4) Detect statistical outliers (climatological 3×STD), 5) Check physical range thresholds, 6) Assign quality flags";
    String Project_Title "Satellite-derived weekly water quality data for  Canal Luis Peña Culebra 01";
    String Project_Web_Site "https://www.caricoos.org/";
    String Publisher_URL "https://www.caricoos.org/";
    String QC_Methodology "Two-stage QC: (1) Climatological 3×STD outlier detection (compares each point to its week-of-year climatology), (2) Physical range threshold checking";
    String QC_Standards "IOOS QUARTOD - Integrated Ocean Observing System Quality Assurance/Quality Control of Real-Time Oceanographic Data";
    String Quality_Flag_System "Flag 1: Good data, Flag 2: Not Evaluated, Flag 3: Questionable (outliers), Flag 4: Bad data, Flag 9: Missing (NaN)";
    String Sats_to_use "A T";
    String Sats_to_use_meaning "\"A\"=MODIS on Sat. Aqua, \"T\"=MODIS on Sat. Terra, \"V\"=VIIRS on SNPP, \"W\"=VIRRS on NOAA-20";
    String source "Optical Oceanography Laboratory (OOL) University of South Florida";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -65.299;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String Station_ID "CUL01";
    String Station_Long_Name "Canal Luis Peña Culebra 01";
    String subsetVariables "longitude, latitude, depth";
    String summary "Weekly averaged data from USF virtual buoys text files";
    String testOutOfDate "now-1day";
    String time_coverage_end "2025-12-17T12:00:00Z";
    String time_coverage_start "2000-01-05T12:00:00Z";
    String title "Water Quality Virtual Buoys (Satellite) - Culebra (CUL01)";
    Float64 Westernmost_Easting 18.266;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.