Data Access Form

Dataset Title:	NAUTILOS - Citizien Science - Temperature in the water column
Institution:	ETT S.p.A. (Dataset ID: env_logger_data_test)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Files \| Make a graph

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Variable

Optional
Constraint #1

Optional
Constraint #2

Minimum

or a List of Values

Maximum

time (UTC)

2023-09-06T09:43:10Z

2024-10-31T10:40:46Z

temp (Temperature, degrees Celsius)

21.1

34.3

serial_number

sensor_id

latitude (degrees_north)

44.421

44.77011

longitude (degrees_east)

8.855

9.20411

accuracy (GPS Position Accuracy, meters)

depth (Sensor depth, m)

0.0

Server-side Functions

distinct()

Hover here to see a list of options. Click on an option to select it.

File type: (more information)

(Documentation / Bypass this form )

(Please be patient. It may take a while to get the data.)

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.69399339e+9, 1.730371246e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    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";
  }
  temp {
    Float32 actual_range 21.1, 34.3;
    String long_name "Temperature";
    String SDN "SDN:P01::TEMPPR01";
    String units "degrees Celsius";
  }
  serial_number {
    String long_name "Serial Number";
  }
  sensor_id {
    String long_name "Sensor Id";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 44.421, 44.77011;
    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 8.855, 9.20411;
    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";
  }
  accuracy {
    Float32 actual_range 2.5, 11.1;
    String long_name "GPS Position Accuracy";
    String units "meters";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sensor depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Citation "This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825 (NAUTILOS). This output reflects only the author's view and the European Union cannot be held responsible for any use that may be made of the information contained therein.";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 9.20411;
    String EDMERP_code "13720";
    String featureType "Point";
    String funding_ID "101000825";
    String funding_statement "This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825 (NAUTILOS). This output reflects only the author's view and the European Union cannot be held responsible for any use that may be made of the information contained therein";
    Float64 geospatial_lat_max 44.77011;
    Float64 geospatial_lat_min 44.421;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.20411;
    Float64 geospatial_lon_min 8.855;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T18:27:09Z (local files)
2024-11-23T18:27:09Z http://data-nautilos-h2020.eu/erddap/tabledap/env_logger_data_test.html";
    String infoUrl "https://www.nautilos-h2020.eu/";
    String institution "ETT S.p.A.";
    String keywords "temperature, temperature_in_water_column, time";
    String license "CC-BY 4.0";
    Float64 Northernmost_Northing 44.77011;
    String Project_DOI "https://doi.org/10.3030/101000825";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.421;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "serial_number, sensor_id, accuracy";
    String summary "Temperature in the water column collected with static temperature loggher with NFC technology in Citizen Scinece campaigns";
    String testOutOfDate "now-9days";
    String time_coverage_end "2024-10-31T10:40:46Z";
    String time_coverage_start "2023-09-06T09:43:10Z";
    String title "NAUTILOS - Citizien Science - Temperature in the water column";
    Float64 Westernmost_Easting 8.855;
  }
}

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.