ERDDAP > tabledap > Data Access Form

Dataset Title:	Multiparametric measurements in a fixed position in the Genova port
Institution:	INGV, OceanHis SrL   (Dataset ID: ingv-lasomma_sensors_data_sea_quality_stat_genova)
Information:	Summary | License | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
ext_id	!= =~ <= >= = < >		!= =~ <= >= = < >		"Genova"
cruise	!= =~ <= >= = < >		!= =~ <= >= = < >		"02Raise"	"04Raise"
station	!= =~ <= >= = < >		!= =~ <= >= = < >		20176	29537
type	!= =~ <= >= = < >		!= =~ <= >= = < >		"B"
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2025-05-09T08:28:00.000Z	2925-05-23T22:40:00.000Z
temp (Temperature)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	34.386
psal	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	37.06
alky	!= =~ <= >= = < >		!= =~ <= >= = < >		7.09	8.12
cpwc	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	173.49
phyc	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	122.5
tsed	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	621.58
wbrx	!= =~ <= >= = < >		!= =~ <= >= = < >		160.76	289.8
cmfl	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	5.54
deph	!= =~ <= >= = < >		!= =~ <= >= = < >		0.5
doxy_mg_l	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	12.22
doxy_perc	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	189.59
qv_odv_sample	!= =~ <= >= = < >		!= =~ <= >= = < >		""
temp_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
psal_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
alky_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
cpwc_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
phyc_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
tsed_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
wbrx_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
cmfl_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
deph_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1
doxy_mg_l_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
doxy_perc_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
qv_odv_sample_qf	!= =~ <= >= = < >		!= =~ <= >= = < >		1	8

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" ext_id cruise station type time temp psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample temp_qf psal_qf alky_qf cpwc_qf phyc_qf tsed_qf wbrx_qf cmfl_qf deph_qf doxy_mg_l_qf doxy_perc_qf qv_odv_sample_qf ext_id cruise station type time temp psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample temp_qf psal_qf alky_qf cpwc_qf phyc_qf tsed_qf wbrx_qf cmfl_qf deph_qf doxy_mg_l_qf doxy_perc_qf qv_odv_sample_qf ext_id cruise station type time temp psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample temp_qf psal_qf alky_qf cpwc_qf phyc_qf tsed_qf wbrx_qf cmfl_qf deph_qf doxy_mg_l_qf doxy_perc_qf qv_odv_sample_qf ext_id cruise station type time temp psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample temp_qf psal_qf alky_qf cpwc_qf phyc_qf tsed_qf wbrx_qf cmfl_qf deph_qf doxy_mg_l_qf doxy_perc_qf qv_odv_sample_qf ext_id cruise station type time temp psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample temp_qf psal_qf alky_qf cpwc_qf phyc_qf tsed_qf wbrx_qf cmfl_qf deph_qf doxy_mg_l_qf doxy_perc_qf qv_odv_sample_qf ")

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). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .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 {
  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 
"2026-04-03T04:35:49Z (local files)
2026-04-03T04:35:49Z https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_stat_genova.html";
    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";
  }
}

 

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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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