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Dataset Title:  EMSO-LO Western Ligurian : BJS_Bathydock_Bathybot Microcat sensors (CSV files
from 2023-09-20)
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Institution:  MIO UMR 7294 CNRS / OSU Pytheas   (Dataset ID: Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023)
Range: longitude = 5.9826 to 5.9826°E, latitude = 42.8014 to 42.8014°N, time = 2023-09-20T13:24:49Z to 2024-02-04T19:45:49Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    [The graph you specified. Please be patient.]

 

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.695216289e+9, 1.707075949e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime";
    String source_name "Datetime";
    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";
  }
  Profondeur {
    Int16 _FillValue 32767;
    Int16 actual_range 2420, 2420;
    String ioos_category "Unknown";
    String long_name "Profondeur";
    String units "metre";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 42.8014, 42.8014;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 5.9826, 5.9826;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Temperature {
    Float32 actual_range 13.2961, 13.4867;
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degree_C";
  }
  Conductivite {
    Float32 actual_range 4.3172, 4.60767;
    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";
    String units "Siemens per metre";
  }
  Pression {
    Float32 actual_range 2453.311, 2453.965;
    String ioos_category "Unknown";
    String long_name "Pression";
    String units "decibars";
  }
  Salinite {
    Float32 actual_range 35.8409, 38.5689;
    String ioos_category "Unknown";
    String long_name "Salinite";
    String units "PSU";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "MIO UMR 7294 CNRS / OSU Pytheas";
    String creator_type "institution";
    String creator_url "http://www.emso-fr.org/EMSO-France";
    String defaultGraphQuery "time,Temperature&.draw=linesAndMarkers&.marker=3|5&.color=0x000000&.colorBar=|||||&.bgColor=0xffccccff&time>=max(time)-2days&.timeRange=2,day(s)";
    Float64 Easternmost_Easting 5.9826;
    String featureType "Point";
    Float64 geospatial_lat_max 42.8014;
    Float64 geospatial_lat_min 42.8014;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 5.9826;
    Float64 geospatial_lon_min 5.9826;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-07-21T06:55:33Z (local files)
2024-07-21T06:55:33Z http://erddap.osupytheas.fr/tabledap/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023.das";
    String infoUrl "http://www.emso-fr.org/EMSO-France";
    String institution "MIO UMR 7294 CNRS / OSU Pytheas";
    String keywords "2023-10, bathydock, cnrs, Conductivite, conductivity, csv, data, datetime, density, earth, Earth Science > Oceans > Salinity/Density > Conductivity, electrical, emso, files, latitude, ligurian, longitude, microcat, mio, ocean, oceans, oregon, osu, pression, profondeur, pytheas, salinite, salinity, science, sea, sea_water_electrical_conductivity, seawater, sensors, state, temperature, time, umr, university, water, western";
    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 42.8014;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 42.8014;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "Profondeur, latitude, longitude";
    String summary "The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian (EMSO-WL) is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is located close by KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation at the EMSO-WL station is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS) as well as a junction box (BJS). The BathyFamily is a package of innovative multi-instrumented platforms to observe the deep sea. BathyBot is an Internet Operated Vehicle (IOV) deployed from a landing station (BathyDock), and close to BathyReef a 3D-printed biomimetic colonizer";
    String testOutOfDate "now-2days";
    String time_coverage_end "2024-02-04T19:45:49Z";
    String time_coverage_start "2023-09-20T13:24:49Z";
    String title "EMSO-LO Western Ligurian : BJS_Bathydock_Bathybot Microcat sensors (CSV files from 2023-09-20)";
    Float64 Westernmost_Easting 5.9826;
  }
}

 

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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