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Dataset Title:  Multiparametric measurements in a fixed position in the Genova port Subscribe RSS
Institution:  INGV, OceanHis SrL   (Dataset ID: ingv-lasomma_sensors_data_sea_quality_stat_genova)
Range: time = 2025-05-09T08:28:00.000Z to 2925-05-23T22:40:00.000Z
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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[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 {
  ext_id {
    String long_name "Ext Id";
  }
  cruise {
    String long_name "Cruise";
  }
  station {
    Int16 _FillValue 32767;
    Int16 actual_range 20176, 29537;
    String long_name "Station";
  }
  type {
    String long_name "Type";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.74677928e+9, 3.01492752e+10;
    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 "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 34.386;
    String long_name "Temperature";
  }
  psal {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 37.06;
    String long_name "Psal";
  }
  alky {
    Float32 _FillValue NaN;
    Float32 actual_range 7.09, 8.12;
    String long_name "Alky";
  }
  cpwc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 173.49;
    String long_name "CPWC";
  }
  phyc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 122.5;
    String long_name "PHYC";
  }
  tsed {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 621.58;
    String long_name "Tsed";
  }
  wbrx {
    Float32 _FillValue NaN;
    Float32 actual_range 160.76, 289.8;
    String long_name "WBRX";
  }
  cmfl {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5.54;
    String long_name "CMFL";
  }
  deph {
    Float32 actual_range 0.5, 0.5;
    String long_name "Deph";
  }
  doxy_mg_l {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 12.22;
    String long_name "Doxy Mg L";
  }
  doxy_perc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 189.59;
    String long_name "Doxy Perc";
  }
  qv_odv_sample {
    String long_name "Qv Odv Sample";
  }
  temp_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "Temp Qf";
  }
  psal_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "Psal Qf";
  }
  alky_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "Alky Qf";
  }
  cpwc_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "CPWC QF";
  }
  phyc_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "PHYC QF";
  }
  tsed_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "Tsed Qf";
  }
  wbrx_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "WBRX QF";
  }
  cmfl_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "CMFL QF";
  }
  deph_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String long_name "Deph Qf";
  }
  doxy_mg_l_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "Doxy Mg L Qf";
  }
  doxy_perc_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 9;
    String long_name "Doxy Perc Qf";
  }
  qv_odv_sample_qf {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 8;
    String long_name "Qv Odv Sample Qf";
  }
 }
  NC_GLOBAL {
    String acquisition_frequence "5 minutes / 20 minutes";
    String acquisition_methodology "Data collected at 0.5 meter depth in fixed position";
    String acquisition_mode "real time";
    String cdm_data_type "Other";
    String Conventions "CF-1.8";
    String creator_email "inches@idata.com";
    String creator_name "Inches, Antonio";
    String creator_orcid "https://orcid.org/0000-0002-7033-1628";
    String creator_type "person";
    String data_format_original "CSV";
    String data_version "Version 1, 2025-09-29";
    String documentation "https://indra.artys.it/INGVRAISE/index.html; https://raise-spoke3.s4raise.it/project01";
    String geospatial_lat_max "44.3958";
    String geospatial_lat_min "44.3958";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_max "8.93118";
    String geospatial_lon_min "8.93118";
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T04:37:02Z (local files)
2026-04-03T04:37:02Z https://erddap.s4raise.it/tabledap/ingv-lasomma_sensors_data_sea_quality_stat_genova.das";
    String infoUrl "https://indra.artys.it/INGVRAISE/index.html";
    String inspire "Oceanographic geographical features";
    String institution "INGV, OceanHis SrL";
    String institution_country "IT, IT";
    String institution_edmo_code ", 6101";
    String keywords "chlorophyll, Earth Science > Oceans > Ocean Chemistry > Organic Matter > Colored Dissolved Organic Matter (18E0Fad3-B6F4-4120-9221-F82Fb2Ffd384), Earth Science > Oceans > Ocean Chemistry > Oxygen (90Aa8838-79Bd-4B28-B518-8217E863C385), Earth Science > Oceans > Ocean Chemistry > Ph (4433600B-F323-458A-B295-352F939Aab6B), Earth Science > Oceans > Ocean Optics > Chlorophyll (15Cc550B-068C-49F4-B082-Bc2A43675606), Earth Science > Oceans > Ocean Optics > Turbidity (F0D83687-Bc0A-4491-Bb3E-697F1018Da13), Earth Science > Oceans > Ocean Temperature > Water Temperature (46206E8C-8Def-406F-9E62-Da4E74633A58), Earth Science > Oceans > Salinity/Density > Salinity (7E95B5Fc-1D58-431A-Af36-948B29Fa870D), Multiparametric parametres, oxygen, pH, phycoerythrin, redox, salinity, temperature, turbidity";
    String keywords_vocabulary "GEMET";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT SpA";
    String naming_authority "lasomma";
    String owner "OceanHis SrL";
    String owner_url "info@oceanhis.com";
    String project_code "RAISE";
    String project_id "ECS00000035";
    String project_name "Robotics and AI for Socio-economic Empowerment";
    String project_statement "RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5)";
    String project_url "https://www.raiseliguria.it/";
    String publisher "ETT SpA";
    String source "IoT Blue Box OceanHis";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v79";
    String subsetVariables "ext_id, type, deph, qv_odv_sample, deph_qf";
    String summary "An IoT - blue box system installed on a 'boat of opportunity'  measured temperature, salinity, pH, redox, chlorophyll, oxygen, phycoerythrin, turbidity and fDOM  at a depth of 0.5 meters initially at  at 5-minute intervals and then at 20 minutes intervals";
    String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
    String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
    String time_coverage_end "2925-05-23T22:40:00.000Z";
    String time_coverage_start "2025-05-09T08:28:00.000Z";
    String title "Multiparametric measurements in a fixed position in the Genova port";
    String visibility "public";
  }
}

 

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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