ERDDAP OSU Pytheas
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Dataset Title:	BERRE Observatoire GIPREB : donnees hydrologiques Niskins 1994-2023 (CSV)
Institution:	GIPREB - OSU Pytheas (Dataset ID: GIPREB_Hydro)
Range:	longitude = 5.0175867 to 5.20694°E, latitude = 43.4022 to 43.53333°N, time = 1994-06-29 to 2023-12-11
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.
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 {
 s {
  nom_station {
    String ioos_category "Unknown";
    String long_name "Nom Station";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 7.72848e+8, 1.7022528e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date";
    String source_name "date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 43.4022, 43.5333272;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "Latitude_WGS84_degres";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 5.0175865, 5.20694;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "Longitude_WGS84_degres";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Profondeur_m {
    String ioos_category "Unknown";
    String long_name "Profondeur";
    String standard_name "depth";
    String units "m";
  }
  NO3_umol_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range -0.025, 153.48;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    Float64 missing_value 999999.0;
    String standard_name "mole_concentration_of_nitrate_in_sea_water";
    String units "umol.l-1";
  }
  NO2_umol_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range 0.0, 5.61;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "Mole Concentration Of Nitrite In Sea Water";
    Float64 missing_value 999999.0;
    String standard_name "mole_concentration_of_nitrite_in_sea_water";
    String units "umol.l-1";
  }
  NH4_umol_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range -0.001053742, 31.6752713506192;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    Float64 missing_value 999999.0;
    String standard_name "mole_concentration_of_ammonium_in_sea_water";
    String units "umol.l-1";
  }
  PO4_umol_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range 0.0, 7.588;
    String ioos_category "Dissolved Nutrients";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    Float64 missing_value 999999.0;
    String standard_name "mole_concentration_of_phosphate_in_sea_water";
    String units "umol.l-1";
  }
  Ntot_umol_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range 0.0, 716.28;
    String ioos_category "Unknown";
    String long_name "Ntot Umol/l";
    Float64 missing_value 999999.0;
    String units "umol.l-1";
  }
  NOP_umol_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range 0.0, 688.99;
    String ioos_category "Unknown";
    String long_name "NOP Umol/l";
    Float64 missing_value 999999.0;
    String standard_name "mole_concentration_of_particulate_organic_nitrogen_in_sea_water";
    String units "umol.l-1";
  }
  COP_umol_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range 0.0, 6750.64733945565;
    String ioos_category "Unknown";
    String long_name "COP umol/l";
    Float64 missing_value 999999.0;
    String standard_name "mole_concentration_of_dissolved_organic_carbon_in_sea_water";
    String units "umol.l-1";
  }
  Ptot_umol_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range -0.05, 22.8086597940541;
    String ioos_category "Unknown";
    String long_name "Phosphote total umol/l";
    Float64 missing_value 999999.0;
    String units "umol.l-1";
  }
  MES_mg_l {
    Float64 _FillValue 999999.0;
    Float64 actual_range 0.0, 179.2;
    String ioos_category "Unknown";
    String long_name "matieres en suspension mg/l";
    Float64 missing_value 999999.0;
    String standard_name "mass_concentration_of_suspended_matter_in_sea_water";
    String units "mg.l-1";
  }
  Chla_ug_l {
    String ioos_category "Ocean Color";
    String long_name "Chl_a ug.l-1";
    String standard_name "mass_concentration_of_chlorophyll_in_sea_water";
    String units "ug.l-1";
  }
  Phaeo_ug_l {
    Float64 _FillValue 999999.0;
    String ioos_category "Unknown";
    String long_name "Phaeopigments ug.l-1";
    Float64 missing_value 999999.0;
    String units "ug.l-1";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "GIPREB";
    String creator_type "institution";
    String creator_url "https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9068c4ec-abab-4b9f-b488-4429277a9a7b";
    Float64 Easternmost_Easting 5.20694;
    String featureType "Point";
    Float64 geospatial_lat_max 43.5333272;
    Float64 geospatial_lat_min 43.4022;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 5.20694;
    Float64 geospatial_lon_min 5.0175865;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-10-30T05:42:29Z (local files)
2024-10-30T05:42:29Z http://erddap.osupytheas.fr/tabledap/GIPREB_Hydro.das";
    String infoUrl "https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9068c4ec-abab-4b9f-b488-4429277a9a7b";
    String institution "GIPREB - OSU Pytheas";
    String keywords "ammonia, ammonium, berre, chemistry, chla, Chla_ug_l, chlorophyll, chlorophyll-a, color, concentration, cop, COP_umol_l, data, date, dissolved, dissolved nutrients, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, g/l, gipreb, latitude, longitude, mass, mass_concentration_of_phosphate_in_sea_water, mes, MES_mg_l, mg/l, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, n02, national, nh4, NH4_umol_l, nitrate, nitrite, NO2_umol_l, no3, NO3_umol_l, nom, nom_station, nop, NOP_umol_l, ntot, Ntot_umol_l, nutrients, obs, obs-berre, observations, ocean, ocean color, oceanic, oceans, phaeo, phosphate, po4, PO4_umol_l, profondeur, Profondeur_m, program, ptot, Ptot_umol_l, science, sea, seawater";
    String keywords_vocabulary "GCMD Science Keywords";
    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 43.5333272;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.4022;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "nom_station, Profondeur_m, latitude, longitude";
    String summary "Evolution hydrologique et biologique de l'etang de Berre (France)";
    String time_coverage_end "2023-12-11";
    String time_coverage_start "1994-06-29";
    String title "BERRE Observatoire GIPREB : donnees hydrologiques Niskins 1994-2023 (CSV)";
    Float64 Westernmost_Easting 5.0175865;
  }
}

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.

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