ERDDAP > tabledap > Data Access Form

Dataset Title:	NAUTILOS - Microplastic Detector for yellow fluorescent microplastic particles - CSEM
Institution:	CSEM   (Dataset ID: sunamips_detector_yellow_fluorescence_csem)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2025-01-30T14:37:40Z	2025-01-30T14:37:40Z
Measurement_Date	!= =~ <= >= = < >		!= =~ <= >= = < >		"30.1.2025"	"30.1.2025"
Measurement_Time	!= =~ <= >= = < >		!= =~ <= >= = < >		"14:37:40"	"14:37:40"
Measurement_Duration	!= =~ <= >= = < >		!= =~ <= >= = < >		"00:04:43"	"00:04:43"
Particles	!= =~ <= >= = < >		!= =~ <= >= = < >		"UVPMS-BY, 40-45um"	"UVPMS-BY, 40-45um"
Sample_Concentration	!= =~ <= >= = < >		!= =~ <= >= = < >		"42.5 ug/mL"	"42.5 ug/mL"
Sample_Volume	!= =~ <= >= = < >		!= =~ <= >= = < >		"5mL"	"5mL"
Flow_Rate	!= =~ <= >= = < >		!= =~ <= >= = < >		"17.66 uL/s"	"17.66 uL/s"
Laser_Power	!= =~ <= >= = < >		!= =~ <= >= = < >		"500mA"	"500mA"
event	!= =~ <= >= = < >		!= =~ <= >= = < >		1	3239
Channel_1_width (number of samples)	!= =~ <= >= = < >		!= =~ <= >= = < >		13.949407	100.34812
Channel_1_height (ADC resolution/range)	!= =~ <= >= = < >		!= =~ <= >= = < >		80.0877	307.44873
Channel_2_width (number of samples)	!= =~ <= >= = < >		!= =~ <= >= = < >		12.814142	97.76122
Channel_2_height (ADC resolution/range)	!= =~ <= >= = < >		!= =~ <= >= = < >		63.126442	352.37747
Channel_3_width (number of samples)	!= =~ <= >= = < >		!= =~ <= >= = < >		14.046274	112.982414
Channel_3_height (ADC resolution/range)	!= =~ <= >= = < >		!= =~ <= >= = < >		272.0335	3136.8438

 

Server-side Functions

distinct()

orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time Measurement_Date Measurement_Time Measurement_Duration Particles Sample_Concentration Sample_Volume Flow_Rate Laser_Power event Channel_1_width Channel_1_height Channel_2_width Channel_2_height Channel_3_width Channel_3_height time Measurement_Date Measurement_Time Measurement_Duration Particles Sample_Concentration Sample_Volume Flow_Rate Laser_Power event Channel_1_width Channel_1_height Channel_2_width Channel_2_height Channel_3_width Channel_3_height time Measurement_Date Measurement_Time Measurement_Duration Particles Sample_Concentration Sample_Volume Flow_Rate Laser_Power event Channel_1_width Channel_1_height Channel_2_width Channel_2_height Channel_3_width Channel_3_height time Measurement_Date Measurement_Time Measurement_Duration Particles Sample_Concentration Sample_Volume Flow_Rate Laser_Power event Channel_1_width Channel_1_height Channel_2_width Channel_2_height Channel_3_width Channel_3_height time Measurement_Date Measurement_Time Measurement_Duration Particles Sample_Concentration Sample_Volume Flow_Rate Laser_Power event Channel_1_width Channel_1_height Channel_2_width Channel_2_height Channel_3_width Channel_3_height ")

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 1.73824786e+9, 1.73824786e+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";
  }
  Measurement_Date {
    String long_name "Measurement Date";
  }
  Measurement_Time {
    String long_name "Measurement Time";
  }
  Measurement_Duration {
    String long_name "Measurement Duration";
  }
  Particles {
    String long_name "Particles";
  }
  Sample_Concentration {
    String long_name "Sample Concentration";
  }
  Sample_Volume {
    String long_name "Sample Volume";
  }
  Flow_Rate {
    String long_name "Flow Rate";
  }
  Laser_Power {
    String long_name "Laser Power";
  }
  event {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 3239;
    String description "consecutive number of event";
    String long_name "Event";
  }
  Channel_1_width {
    Float64 actual_range 13.949407, 100.34812;
    String description "extracted width of the identified peak in the units of \"number of samples\" from channel 1";
    String long_name "Channel 1 Width";
    String units "number of samples";
  }
  Channel_1_height {
    Float64 actual_range 80.0877, 307.44873;
    String description "extracted height of the identified peak in the units of \"ADC resolution/range\" from channel 1";
    String long_name "Channel 1 Height";
    String units "ADC resolution/range";
  }
  Channel_2_width {
    Float64 actual_range 12.814142, 97.76122;
    String description "extracted width of the identified peak in the units of \"number of samples\" from channel 2";
    String long_name "Channel 2 Width";
    String units "number of samples";
  }
  Channel_2_height {
    Float64 actual_range 63.126442, 352.37747;
    String description "extracted height of the identified peak in the units of \"ADC resolution/range\" from channel 2";
    String long_name "Channel 2 Height";
    String units "ADC resolution/range";
  }
  Channel_3_width {
    Float64 actual_range 14.046274, 112.982414;
    String description "extracted width of the identified peak in the units of \"number of samples\" from channel 3";
    String long_name "Channel 3 Width";
    String units "number of samples";
  }
  Channel_3_height {
    Float64 actual_range 272.0335, 3136.8438;
    String description "extracted height of the identified peak in the units of \"ADC resolution/range\" from channel 3";
    String long_name "Channel 3 Height";
    String units "ADC resolution/range";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String channel_filters "Green, Red Green";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String history 
"2025-05-10T01:49:44Z (local files)
2025-05-10T01:49:44Z https://data-nautilos-h2020.eu/erddap/tabledap/sunamips_detector_yellow_fluorescence_csem.html";
    String infoUrl "https://nautilos-h2020.eu/";
    String inspire "Oceanographic geographical features";
    String institution "CSEM";
    String institution_country "CH";
    String institution_edmo_code "6052";
    String license "CC-BY 4.0";
    String naming_authority "NAUTILOS";
    String project_code "NAUTILOS";
    String Project_DOI "https://doi.org/10.3030/101000825";
    String project_edmerp "13720";
    String project_id "101000825";
    String project_name "New Approach to Underwater Technologies for Innovative, Low-cost Ocean obServation";
    String project_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";
    String sampling_frequence "5kHz";
    String sensor_nautilos "Microplastic Detector - CSEM";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Data from a local source.";
    String time_coverage_end "2025-01-30T14:37:40Z";
    String time_coverage_start "2025-01-30T14:37:40Z";
    String title "NAUTILOS - Microplastic Detector for yellow fluorescent microplastic particles - CSEM";
    String varaibles "event, identified peak width, identified peak height";
  }
}

 

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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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