ERDDAP > tabledap > Data Access Form

Dataset Title:	EMSO-LO Western Ligurian : BJS_Bathydock_Bathybot Aquadopp sensor (CSV files from 2023-09-20)
Institution:	MIO UMR 7294 CNRS / OSU Pytheas   (Dataset ID: Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
time (Datetime, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023-09-20T13:21:14Z	2024-02-04T19:45:13Z
Profondeur	!= =~ <= >= = < >		!= =~ <= >= = < >		2420
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		42.8014
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.9826
X_East (m.s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.082	1.513
Y_North (m.s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-2.106	1.614
Z_up (m.s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-4.137	4.505
Amplitude_X (1)	!= =~ <= >= = < >		!= =~ <= >= = < >		154.0	167.0
Amplitude_Y (1)	!= =~ <= >= = < >		!= =~ <= >= = < >		151.0	163.0
Amplitude_Z (1)	!= =~ <= >= = < >		!= =~ <= >= = < >		152.0	169.0
Batterie (volts)	!= =~ <= >= = < >		!= =~ <= >= = < >		11.7	11.8
Sound_Speed (m.s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		1504.7	1504.9
Heading (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		270.8	272.5
Pitch (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.9	-0.7
Roll (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.8	1.0
Pressure (decibars)	!= =~ <= >= = < >		!= =~ <= >= = < >		2484.386	2486.661
Temperature (degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		13.28	13.35
Fluorescence (arbitrary unit)	!= =~ <= >= = < >		!= =~ <= >= = < >		730.0	40920.0
Speed (m.s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.009	2.138
Direction (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	359.9

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time Profondeur latitude longitude X_East Y_North Z_up Amplitude_X Amplitude_Y Amplitude_Z Batterie Sound_Speed Heading Pitch Roll Pressure Temperature Fluorescence Speed Direction time Profondeur latitude longitude X_East Y_North Z_up Amplitude_X Amplitude_Y Amplitude_Z Batterie Sound_Speed Heading Pitch Roll Pressure Temperature Fluorescence Speed Direction time Profondeur latitude longitude X_East Y_North Z_up Amplitude_X Amplitude_Y Amplitude_Z Batterie Sound_Speed Heading Pitch Roll Pressure Temperature Fluorescence Speed Direction time Profondeur latitude longitude X_East Y_North Z_up Amplitude_X Amplitude_Y Amplitude_Z Batterie Sound_Speed Heading Pitch Roll Pressure Temperature Fluorescence Speed Direction time Profondeur latitude longitude X_East Y_North Z_up Amplitude_X Amplitude_Y Amplitude_Z Batterie Sound_Speed Heading Pitch Roll Pressure Temperature Fluorescence Speed Direction ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.695216074e+9, 1.707075913e+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";
  }
  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";
  }
  X_East {
    Float32 actual_range -1.082, 1.513;
    String ioos_category "Location";
    String long_name "X East";
    String units "m.s-1";
  }
  Y_North {
    Float32 actual_range -2.106, 1.614;
    String ioos_category "Location";
    String long_name "Y North";
    String units "m.s-1";
  }
  Z_up {
    Float32 actual_range -4.137, 4.505;
    String ioos_category "Location";
    String long_name "Z Up";
    String units "m.s-1";
  }
  Amplitude_X {
    Float32 actual_range 154.0, 167.0;
    String ioos_category "Location";
    String long_name "Amplitude X";
    String units "1";
  }
  Amplitude_Y {
    Float32 actual_range 151.0, 163.0;
    String ioos_category "Location";
    String long_name "Amplitude Y";
    String units "1";
  }
  Amplitude_Z {
    Float32 actual_range 152.0, 169.0;
    String ioos_category "Location";
    String long_name "Amplitude Z";
    String units "1";
  }
  Batterie {
    Float32 actual_range 11.7, 11.8;
    String ioos_category "Unknown";
    String long_name "Batterie";
    String units "volts";
  }
  Sound_Speed {
    Float32 actual_range 1504.7, 1504.9;
    String ioos_category "Currents";
    String long_name "Sound Speed";
    String units "m.s-1";
  }
  Heading {
    Float32 actual_range 270.8, 272.5;
    String ioos_category "Unknown";
    String long_name "Heading";
    String units "degree";
  }
  Pitch {
    Float32 actual_range -0.9, -0.7;
    String ioos_category "Unknown";
    String long_name "Pitch";
    String units "degree";
  }
  Roll {
    Float32 actual_range 0.8, 1.0;
    String ioos_category "Unknown";
    String long_name "Roll";
    String units "degree";
  }
  Pressure {
    Float32 actual_range 2484.386, 2486.661;
    String ioos_category "Pressure";
    String long_name "Pressure";
    String units "decibars";
  }
  Temperature {
    Float32 actual_range 13.28, 13.35;
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degree_C";
  }
  Fluorescence {
    Float32 actual_range 730.0, 40920.0;
    String ioos_category "Optical Properties";
    String long_name "Fluorescence";
    String units "arbitrary unit";
  }
  Speed {
    Float32 actual_range 0.009, 2.138;
    String ioos_category "Currents";
    String long_name "Speed";
    String units "m.s-1";
  }
  Direction {
    Float32 actual_range 0.0, 359.9;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Currents";
    String long_name "Direction";
    String units "degree";
  }
 }
  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,Pressure&.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 
"2024-11-21T11:07:07Z (local files)
2024-11-21T11:07:07Z http://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023.html";
    String infoUrl "http://www.emso-fr.org/EMSO-France";
    String institution "MIO UMR 7294 CNRS / OSU Pytheas";
    String keywords "2023-09-20, amplitude, Amplitude_X, Amplitude_Y, Amplitude_Z, aquadopp, bathybot, bathydock, batterie, bjs, cnrs, common, csv, currents, data, datetime, direction, east, emso, emso-lo, files, fluorescence, format, heading, latitude, ligurian, longitude, mio, network, north, optical, optical properties, oregon, osu, pitch, pressure, profondeur, properties, pytheas, roll, sensor, sound, Sound_Speed, speed, state, temperature, time, umr, university, western, X_East, Y_North, Z_up";
    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 "EMSO-LO Western Ligurian : BathyBot, Aquadopp sensor (Network Common Data Format (NetCDF) files from 2023-04-28). 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-76days";
    String time_coverage_end "2024-02-04T19:45:13Z";
    String time_coverage_start "2023-09-20T13:21:14Z";
    String title "EMSO-LO Western Ligurian : BJS_Bathydock_Bathybot Aquadopp sensor (CSV files from 2023-09-20)";
    Float64 Westernmost_Easting 5.9826;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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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