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Dataset Title:	AMT - Inherent Optical Property (IOP) near-continuous data
Institution:	Plymouth Marine Laboratory (Dataset ID: AMT_e274_c3e5_02a9)
Information:	Summary \| License \| Metadata \| Background \| 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.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 _FillValue NaN;
    Float64 actual_range 1.5062694599999974e+9, 1.5095806799999971e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    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";
  }
  latitude {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String units "degrees_east";
  }
  flow {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Flow";
    String units "relative units";
  }
  acs_chl {
    Float64 _FillValue NaN;
    String acs_chl_comment "uncalibrated, not-debiased chl estimated from ACS ap";
    String acs_chl_equation "chla = (acs.ap(:,wv676)-39/65.*acs.ap(:,wv650)-26/65*acs.ap(:,wv714))./0.014;";
    String acs_chl_units "mg/m3";
    String ioos_category "Unknown";
    String long_name "Acs Chl";
  }
  acs_N {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Acs N";
    String units "number of binned measurements";
  }
  ac9_chl {
    Float64 _FillValue NaN;
    String ac9_chl_comment "uncalibrated, not-debiased chl estimated from ACS ap";
    String ac9_chl_equation "chla = (acs.ap(:,wv676)-39/65.*acs.ap(:,wv650)-26/65*acs.ap(:,wv714))./0.014;";
    String ac9_chl_units "mg/m3";
    String ioos_category "Unknown";
    String long_name "Ac9 Chl";
  }
  ac9_N {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Ac9 N";
    String units "number of binned measurements";
  }
  cstar_cp {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Cstar Cp";
    String units "1/m";
  }
  cstar_cp_err {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Cstar Cp Err";
    String units "1/m";
  }
  ctd_sst {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  ctd_sal {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Ctd Sal";
  }
  uway_gndcourse {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Gndcourse";
  }
  uway_heading {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Heading";
  }
  uway_gndspeed {
    Float64 _FillValue NaN;
    String ioos_category "Currents";
    String long_name "Uway Gndspeed";
  }
  uway_roll {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Roll";
  }
  uway_pitch {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Pitch";
  }
  uway_heave {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Heave";
  }
  uway_depthm {
    Float64 _FillValue NaN;
    String ioos_category "Location";
    String long_name "Uway Depthm";
  }
  uway_flowrate {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Flowrate";
  }
  uway_fluo {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Fluo";
  }
  uway_trans {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Trans";
  }
  uway_wind_vel {
    Float64 _FillValue NaN;
    String ioos_category "Wind";
    String long_name "Uway Wind Vel";
  }
  uway_air_temp {
    Float64 _FillValue NaN;
    String ioos_category "Temperature";
    String long_name "Uway Air Temp";
  }
  uway_wind_dir {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
  }
  uway_humidity {
    Float64 _FillValue NaN;
    String ioos_category "Meteorology";
    String long_name "Uway Humidity";
  }
  uway_baro {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Baro";
  }
  uway_par1 {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Par1";
  }
  uway_tir1 {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Tir1";
  }
  uway_par2 {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Par2";
  }
  uway_tir2 {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Tir2";
  }
  uway_sal {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Sal";
  }
  uway_sst {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  uway_thermosalinograph_temp {
    Float64 _FillValue NaN;
    String ioos_category "Unknown";
    String long_name "Uway Thermosalinograph Temp";
  }
  uway_conductivity {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 30.0;
    String ioos_category "Salinity";
    String long_name "Sea Water Electrical Conductivity";
    String standard_name "sea_water_electrical_conductivity";
  }
  acs_chl_debiased {
    Float64 _FillValue NaN;
    Float64 acs_chl 0.5498879559968947, 0.24047637773157146, 0.16435335665261508, 0.1916831514487088, 0.0771949009437265, 0.0735924128197845, 0.066265834188238, 0.04216555925067576, 0.0429025461186147, 0.08935654509163024, 0.104206343617643, 0.10324899908249727, 0.13077893863222254, 0.18506586059473876, 0.13872864305858856, 0.1252103967912292, 0.11084249575777341, 0.12154931956170477, 0.14706503869737644, 0.1110262687881065, 0.1756941249051085, 0.10983651169539957, 0.09515964779866098, 0.08990825363174366, 0.0831391192798204, 0.050806899582476035, 0.03924688489617625, 0.03531441080445374, 0.03797817497096075, 0.043710783404767965, 0.036387655238559906, 0.030330634917046656, 0.032547993407673934, 0.03889208923587849, 0.034711435986814414, 0.26703166477803125, 0.40271879139383976, 0.3717625490729743, 0.4887683542782895, 0.42348474839186945, 0.17988759324267928, 0.5116929883713192, 0.5185964849939593, 0.40878478469259955, 1.184161150714769, 0.40105389898514604, 4.8048244532007995, 2.506649729884962;
    String acs_chl_units "mg/m3";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum -0.1;
    String comments "delta=np.nanmedian(rres), sigma=prcrng(rres), rres=acs_chl/HPLC_Tot_Chl_a-1, based on surface data";
    String debiasing_equation "acs.acs_chl_deiased = acs.acs_chl*(1-delta)";
    Float64 delta -0.07378529880943258;
    Float64 HPLC_Tot_chla 0.3125173750635697, 0.28942638527953685, 0.21157547226233037, 0.10724928010088086, 0.07751420121411247, 0.08838372926017948, 0.10772009960749121, 0.045786644993044336, 0.04616613750001098, 0.10794807546074929, 0.14125279972676577, 0.14231854774790587, 0.14167030783929233, 0.2070183627857469, 0.14215915415940383, 0.12079587176772187, 0.12182386495920176, 0.1412118244449055, 0.18570370722537355, 0.127947440285949, 0.18500799983827318, 0.1314015673307072, 0.09494442933434317, 0.11688688142506018, 0.08148220845004646, 0.05196561654533267, 0.0412139026121102, 0.034948597412299096, 0.0401422541774408, 0.0350206513340467, 0.03430736470200055, 0.02925380947563248, 0.0346341442608533, 0.03114513876025203, 0.03388528806121584, 0.2935328642819676, 0.3557199731813299, 0.40864541916873753, 0.564051883040099, 0.4896178990051103, 0.3487503396048321, 0.6050068827377643, 0.5279815056159296, 0.3797184175155536, 0.7703771595744923, 0.4825375763863591, 4.459551535263978, 2.937368684394592;
    String HPLC_Tot_chla_units "mg/m3";
    String ioos_category "Statistics";
    String long_name "Acs Chl Debiased";
    String match_up_dates 
"2017-09-24 17:27:00
2017-09-25 11:57:00
2017-09-26 11:00:00
2017-09-26 15:00:00
2017-09-27 18:52:00
2017-09-28 10:56:00
2017-09-29 19:00:00
2017-10-01 18:03:00
2017-10-03 09:06:00
2017-10-03 21:07:00
2017-10-04 17:05:00
2017-10-05 06:40:00
2017-10-05 09:10:00
2017-10-06 17:16:00
2017-10-07 13:20:00
2017-10-08 09:09:00
2017-10-08 20:44:00
2017-10-09 17:10:00
2017-10-10 09:07:00
2017-10-10 20:55:00
2017-10-11 18:58:00
2017-10-12 17:05:00
2017-10-13 13:20:00
2017-10-14 13:13:00
2017-10-15 05:10:00
2017-10-15 13:14:00
2017-10-16 13:15:00
2017-10-17 04:30:00
2017-10-18 10:40:00
2017-10-19 08:53:00
2017-10-20 07:05:00
2017-10-20 17:06:00
2017-10-21 13:14:00
2017-10-22 06:59:00
2017-10-22 18:33:00
2017-10-23 09:52:00
2017-10-24 06:14:00
2017-10-24 17:02:00
2017-10-25 14:25:00
2017-10-26 05:10:00
2017-10-26 17:17:00
2017-10-27 12:42:00
2017-10-28 04:44:00
2017-10-29 05:06:00
2017-10-29 09:26:00
2017-10-29 20:43:00
2017-10-30 20:23:00
2017-11-01 07:58:00";
    String processed_on "2024-02-27 13:41:40.862009";
    Float64 sigma 0.11944447655085341;
    String units "mg/m3";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String history 
"2025-12-06T04:23:27Z (local files)
2025-12-06T04:23:27Z https://erddap.eofrom.space/griddap/AMT_e274_c3e5_02a9.das";
    String infoUrl "https://www.pml.ac.uk/science/projects/Atlantic-Meridional-Transect-(AMT)";
    String institution "Plymouth Marine Laboratory";
    String keywords "ac9, ac9_chl, ac9_N, acs, acs_chl, acs_chl_debiased, acs_N, air, altimetry, atmosphere, atmospheric, baro, chl, chlorophyll, conductivity, cstar, cstar_cp, cstar_cp_err, ctd, ctd_sal, ctd_sst, currents, data, debiased, density, depth, depthm, direction, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Salinity/Density > Conductivity, electrical, error, flow, flowrate, fluo, gndcourse, gndspeed, heading, heave, humidity, laboratory, local, meteorology, ocean, oceans, par1, par2, pitch, roll, sal, salinity, satellite, science, sea, sea_surface_temperature, sea_water_electrical_conductivity, seawater, sonde, source, statistics, surface, temperature, thermosalinograph, time, tir1, tir2, trans, uway, uway_air_temp, uway_baro, uway_conductivity, uway_depthm, uway_flowrate, uway_fluo, uway_gndcourse, uway_gndspeed, uway_heading, uway_heave, uway_humidity, uway_lat, uway_lon, uway_par1, uway_par2, uway_pitch, uway_roll, uway_sal, uway_sst, uway_thermosalinograph_temp, uway_tir1, uway_tir2, uway_trans, uway_wind_dir, uway_wind_vel, vel, water, wind, wind_from_direction, winds";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "OGL - https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Inherent Optical Property (IOP) core underway (near-continuous transect) data fields from AMT27 (2017)";
    String time_coverage_end "2017-11-01T23:58:00Z";
    String time_coverage_start "2017-09-24T16:11:00Z";
    String title "AMT - Inherent Optical Property (IOP) near-continuous data";
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection 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. It makes 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

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