ERDDAP > tabledap > Data Access Form

Dataset Title:	NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform - NIVA
Institution:	NIVA   (Dataset ID: satellite_uav_matchups_S3)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
name	!= =~ <= >= = < >		!= =~ <= >= = < >		"fjord"	"midfjord"
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023-05-12T10:23:00Z	2024-09-05T13:00:00Z
altitude (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		60	120
square_size_pixel_extract	!= =~ <= >= = < >		!= =~ <= >= = < >		12	50
group	!= =~ <= >= = < >		!= =~ <= >= = < >		79	118
X475	!= =~ <= >= = < >		!= =~ <= >= = < >		0.006675	0.010583
X560	!= =~ <= >= = < >		!= =~ <= >= = < >		0.011991	0.024883
X668	!= =~ <= >= = < >		!= =~ <= >= = < >		0.006059	0.016369
X717	!= =~ <= >= = < >		!= =~ <= >= = < >		0.00254	0.005736
X842	!= =~ <= >= = < >		!= =~ <= >= = < >		0.00171	0.005142
ferry_chla	!= =~ <= >= = < >		!= =~ <= >= = < >		1.6	4.31
ferry_cdom	!= =~ <= >= = < >		!= =~ <= >= = < >		13.2	23.9
ferry_turb	!= =~ <= >= = < >		!= =~ <= >= = < >		0.39	0.806
ferry_date (Ferry.date)	!= =~ <= >= = < >		!= =~ <= >= = < >		4.09	13.09
satellite_file	!= =~ <= >= = < >		!= =~ <= >= = < >		"S3B_OLCI_2023_05_1..."	"S3B_OLCI_2024_09_0..."
satellite_time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023-05-12T09:16:00Z	2024-09-06T10:34:00Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		59.61486435	59.61682129
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		10.63314056	10.63652992
l2_flags	!= =~ <= >= = < >		!= =~ <= >= = < >		0	0
Rrs_400	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003014024	0.004228631
Rrs_412	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001308182	0.003359942
Rrs_443	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002125011	0.00363691
Rrs_490	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001721426	0.003817213
Rrs_510	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002010033	0.00394006
Rrs_560	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003422418	0.004854238
Rrs_620	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002043812	0.003261039
Rrs_665	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001868206	0.002722737
Rrs_674	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001812587	0.002724247
Rrs_682	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001766024	0.00278705
Rrs_709	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002527952	0.00332706
Rrs_754	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003365533	0.005852731
Rrs_768	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003111993	0.005763487
Rrs_779	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002953107	0.005014518
Rrs_865	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002028107	0.002978946
Rrs_884	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001621517	0.001665655
Rrs_1016	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002514685	0.005010376
chl_oc4	!= =~ <= >= = < >		!= =~ <= >= = < >		3.405615091	16.50572777
chl_re_mishra	!= =~ <= >= = < >		!= =~ <= >= = < >		11.81732082	52.09120941
TUR_Nechad2009_665	!= =~ <= >= = < >		!= =~ <= >= = < >		1.71906209	2.546322823
SPM_Nechad2010_665	!= =~ <= >= = < >		!= =~ <= >= = < >		2.161965847	3.202364445
chl_re_gons	!= =~ <= >= = < >		!= =~ <= >= = < >		17.65566444	70.17803955
min_S3_diff	!= =~ <= >= = < >		!= =~ <= >= = < >		67	1294

 

Server-side Functions

distinct()

orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" name time altitude square_size_pixel_extract group X475 X560 X668 X717 X842 ferry_chla ferry_cdom ferry_turb ferry_date satellite_file satellite_time latitude longitude l2_flags Rrs_400 Rrs_412 Rrs_443 Rrs_490 Rrs_510 Rrs_560 Rrs_620 Rrs_665 Rrs_674 Rrs_682 Rrs_709 Rrs_754 Rrs_768 Rrs_779 Rrs_865 Rrs_884 Rrs_1016 chl_oc4 chl_re_mishra TUR_Nechad2009_665 SPM_Nechad2010_665 chl_re_gons min_S3_diff name time altitude square_size_pixel_extract group X475 X560 X668 X717 X842 ferry_chla ferry_cdom ferry_turb ferry_date satellite_file satellite_time latitude longitude l2_flags Rrs_400 Rrs_412 Rrs_443 Rrs_490 Rrs_510 Rrs_560 Rrs_620 Rrs_665 Rrs_674 Rrs_682 Rrs_709 Rrs_754 Rrs_768 Rrs_779 Rrs_865 Rrs_884 Rrs_1016 chl_oc4 chl_re_mishra TUR_Nechad2009_665 SPM_Nechad2010_665 chl_re_gons min_S3_diff name time altitude square_size_pixel_extract group X475 X560 X668 X717 X842 ferry_chla ferry_cdom ferry_turb ferry_date satellite_file satellite_time latitude longitude l2_flags Rrs_400 Rrs_412 Rrs_443 Rrs_490 Rrs_510 Rrs_560 Rrs_620 Rrs_665 Rrs_674 Rrs_682 Rrs_709 Rrs_754 Rrs_768 Rrs_779 Rrs_865 Rrs_884 Rrs_1016 chl_oc4 chl_re_mishra TUR_Nechad2009_665 SPM_Nechad2010_665 chl_re_gons min_S3_diff name time altitude square_size_pixel_extract group X475 X560 X668 X717 X842 ferry_chla ferry_cdom ferry_turb ferry_date satellite_file satellite_time latitude longitude l2_flags Rrs_400 Rrs_412 Rrs_443 Rrs_490 Rrs_510 Rrs_560 Rrs_620 Rrs_665 Rrs_674 Rrs_682 Rrs_709 Rrs_754 Rrs_768 Rrs_779 Rrs_865 Rrs_884 Rrs_1016 chl_oc4 chl_re_mishra TUR_Nechad2009_665 SPM_Nechad2010_665 chl_re_gons min_S3_diff name time altitude square_size_pixel_extract group X475 X560 X668 X717 X842 ferry_chla ferry_cdom ferry_turb ferry_date satellite_file satellite_time latitude longitude l2_flags Rrs_400 Rrs_412 Rrs_443 Rrs_490 Rrs_510 Rrs_560 Rrs_620 Rrs_665 Rrs_674 Rrs_682 Rrs_709 Rrs_754 Rrs_768 Rrs_779 Rrs_865 Rrs_884 Rrs_1016 chl_oc4 chl_re_mishra TUR_Nechad2009_665 SPM_Nechad2010_665 chl_re_gons min_S3_diff ")

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).

(Documentation / Bypass this form )
 
Submit (Please be patient. It may take a while to get the data.)

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  name {
    String long_name "Name";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.68388698e+9, 1.7255412e+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";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 60, 120;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  square_size_pixel_extract {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 12, 50;
    String long_name "Square Size Pixel Extract";
  }
  group {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 79, 118;
    String long_name "Group";
  }
  X475 {
    Float32 actual_range 0.006675, 0.010583;
    String long_name "X475";
  }
  X560 {
    Float32 actual_range 0.011991, 0.024883;
    String long_name "X560";
  }
  X668 {
    Float32 actual_range 0.006059, 0.016369;
    String long_name "X668";
  }
  X717 {
    Float32 actual_range 0.00254, 0.005736;
    String long_name "X717";
  }
  X842 {
    Float32 actual_range 0.00171, 0.005142;
    String long_name "X842";
  }
  ferry_chla {
    Float32 actual_range 1.6, 4.31;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String standard_name "concentration_of_chlorophyll_in_sea_water";
  }
  ferry_cdom {
    Float32 actual_range 13.2, 23.9;
    String long_name "Ferry Cdom";
  }
  ferry_turb {
    Float32 actual_range 0.39, 0.806;
    String long_name "Ferry Turb";
  }
  ferry_date {
    Float32 actual_range 4.09, 13.09;
    String long_name "Ferry.date";
  }
  satellite_file {
    String long_name "Satellite File";
  }
  satellite_time {
    Float64 actual_range 1.68388296e+9, 1.72561884e+9;
    String ioos_category "Time";
    String long_name "Satellite 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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 59.61486435, 59.61682129;
    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";
    Float64 actual_range 10.63314056, 10.63652992;
    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";
  }
  l2_flags {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "L2 Flags";
  }
  Rrs_400 {
    Float32 actual_range 0.003014024, 0.004228631;
    String long_name "RRS 400";
  }
  Rrs_412 {
    Float32 actual_range 0.001308182, 0.003359942;
    String long_name "RRS 412";
  }
  Rrs_443 {
    Float32 actual_range 0.002125011, 0.00363691;
    String long_name "RRS 443";
  }
  Rrs_490 {
    Float32 actual_range 0.001721426, 0.003817213;
    String long_name "RRS 490";
  }
  Rrs_510 {
    Float32 actual_range 0.002010033, 0.00394006;
    String long_name "RRS 510";
  }
  Rrs_560 {
    Float32 actual_range 0.003422418, 0.004854238;
    String long_name "RRS 560";
  }
  Rrs_620 {
    Float32 actual_range 0.002043812, 0.003261039;
    String long_name "RRS 620";
  }
  Rrs_665 {
    Float32 actual_range 0.001868206, 0.002722737;
    String long_name "RRS 665";
  }
  Rrs_674 {
    Float32 actual_range 0.001812587, 0.002724247;
    String long_name "RRS 674";
  }
  Rrs_682 {
    Float32 actual_range 0.001766024, 0.00278705;
    String long_name "RRS 682";
  }
  Rrs_709 {
    Float32 actual_range 0.002527952, 0.00332706;
    String long_name "RRS 709";
  }
  Rrs_754 {
    Float32 actual_range 0.003365533, 0.005852731;
    String long_name "RRS 754";
  }
  Rrs_768 {
    Float32 actual_range 0.003111993, 0.005763487;
    String long_name "RRS 768";
  }
  Rrs_779 {
    Float32 actual_range 0.002953107, 0.005014518;
    String long_name "RRS 779";
  }
  Rrs_865 {
    Float32 actual_range 0.002028107, 0.002978946;
    String long_name "RRS 865";
  }
  Rrs_884 {
    Float32 actual_range 0.001621517, 0.001665655;
    String long_name "RRS 884";
  }
  Rrs_1016 {
    Float32 actual_range 0.002514685, 0.005010376;
    String long_name "RRS 1016";
  }
  chl_oc4 {
    Float64 actual_range 3.405615091, 16.50572777;
    String long_name "Chl Oc4";
  }
  chl_re_mishra {
    Float64 actual_range 11.81732082, 52.09120941;
    String long_name "Chl Re Mishra";
  }
  TUR_Nechad2009_665 {
    Float64 actual_range 1.71906209, 2.546322823;
    String long_name "TUR Nechad2009 665";
  }
  SPM_Nechad2010_665 {
    Float64 actual_range 2.161965847, 3.202364445;
    String long_name "SPM Nechad2010 665";
  }
  chl_re_gons {
    Float64 actual_range 17.65566444, 70.17803955;
    String long_name "Chl Re Gons";
  }
  min_S3_diff {
    Int16 _FillValue 32767;
    Int16 actual_range 67, 1294;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Min S3 Diff";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "niva@niva.no";
    String creator_name "Sabine Marty";
    String creator_type "Institution";
    String creator_url "https://www.niva.no/en";
    Float64 Easternmost_Easting 10.63652992;
    Float64 geospatial_lat_max 59.61682129;
    Float64 geospatial_lat_min 59.61486435;
    String geospatial_lat_resolution "degree_north";
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.63652992;
    Float64 geospatial_lon_min 10.63314056;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 120.0;
    Float64 geospatial_vertical_min 60.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"2025-07-14T02:11:37Z (local files)
2025-07-14T02:11:37Z https://data-nautilos-h2020.eu/erddap/tabledap/satellite_uav_matchups_S3.html";
    String infoUrl "https://nautilos-h2020.eu/";
    String inspire "Oceanographic geographical features";
    String institution "NIVA";
    String institution_country "1417";
    String institution_edmo_code "NOR";
    String institution_references "The Norwegian Institute for Water Research (NIVA) is Norway's premier research institute in the fields of water and the environment. They develop science-based knowledge and solutions to challenges related to the interaction between water and climate, the environment, nature, people, resources and society.";
    String keywords "CDOM, Chlorophyll-a, Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > MULTI-SPECTRAL (0ff265ba-785f-498b-bee3-407c4317ac87), Earth Science > Oceans > Ocean Optics > Chlorophyll (15Cc550B-068C-49F4-B082-Bc2A43675606), Earth Science > Oceans > Ocean Optics > Reflectance (4F7Ad022-70Ea-4254-B0Ae-7A231Fc2E46A), Earth Science > Oceans > Ocean Optics > Turbidity (F0D83687-Bc0A-4491-Bb3E-697F1018Da13), Multispectral camera, Remote sensing reflectance, Satellite, Space-based Platforms > Earth Observation Satellites (3466eed1-2fbb-49bf-ab0b-dc08731d502b), Turbidity";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC-BY 4.0";
    String naming_authority "NAUTILOS";
    Float64 Northernmost_Northing 59.61682129;
    String platform_type_sdn_name "vessel of opportunity on fixed route";
    String platform_type_sdn_uri "https://vocab.nerc.ac.uk/collection/L06/current/35/";
    String platform_type_sdn_urn "SDN:L06::35";
    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 sourceUrl "(local files)";
    Float64 Southernmost_Northing 59.61486435;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform - NIVA";
    String time_coverage_end "2024-09-05T13:00:00Z";
    String time_coverage_start "2023-05-12T10:23:00Z";
    String title "NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform - NIVA";
    String variables "Remote sensing reflectance, Chlorophyll-a, CDOM, Turbidity";
    Float64 Westernmost_Easting 10.63314056;
  }
}

 

---

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.

 

---

ERDDAP, Version 2.18
Disclaimers | Privacy Policy | Contact