Data Access Form

Dataset Title:	NAUTILOS - RGB, Multispectral and hyperspectral observations of plastic litter and ocean color - NIVA
Institution:	NIVA (Dataset ID: multi-hyper-spectral_camera_niva)
Information:	Summary \| License \| Metadata \| Background \| Files \| Make a graph

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Variable	Minimum	Maximum
url
name (File Name)
lastModified (UTC)	2025-02-10T12:39:00Z	2025-07-02T16:29:00Z
size (bytes)	533836.0	1.191912276E9
fileType
application
image_type

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 {
  url {
    String ioos_category "Identifier";
    String long_name "URL";
  }
  name {
    String ioos_category "Identifier";
    String long_name "File Name";
  }
  lastModified {
    String ioos_category "Time";
    String long_name "Last Modified";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  size {
    String ioos_category "Other";
    String long_name "Size";
    String units "bytes";
  }
  fileType {
    String ioos_category "Identifier";
    String long_name "File Type";
  }
  application {
  }
  image_type {
  }
 }
  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 "person";
    String creator_url "https://www.niva.no/en";
    String geospatial_lat_max "59.618847";
    String geospatial_lat_min "59.612979";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_max "10.661011";
    String geospatial_lon_min "10.621785";
    String geospatial_lon_units "degrees_east";
    String history 
"2025-09-03T15:44:53Z (local files)
2025-09-03T15:44:53Z https://data-nautilos-h2020.eu/erddap/tabledap/multi-hyper-spectral_camera_niva.html";
    String infoUrl "https://nautilos-h2020.eu/";
    String inspire "Oceanographic geographical features";
    String institution "NIVA";
    String institution_country "1417";
    String institution_edmo_code "NO";
    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, Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras (d322ae9d-bde0-448f-948d-777aef096eb6), Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > Multi-spectral (0ff265ba-785f-498b-bee3-407c4317ac87), Earth Science > Oceans > Ocean Chemistry > Organic Matter > Colored Dissolved Organic Matter (18E0Fad3-B6F4-4120-9221-F82Fb2Ffd384), Earth Science > Oceans > Ocean Optics > Chlorophyll (15Cc550B-068C-49F4-B082-Bc2A43675606), Earth Science > Oceans > Ocean Optics > Ocean Color (78F5A84F-1B5B-44A9-97E7-4A1996Cd2E36), Hyperspectral camera, Multispectral camera, Ocean color, Plastic litter";
    String keywords_vocabulary "GCMD Science Keywords";
    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 Unionâ€™s Horizon 2020 research and innovation programme under grant agreement No. 101000825 (NAUTILOS). This output reflects only the authorâ€™s view and the European Union cannot be held responsible for any use that may be made of the information contained therein";
    String references "RGB, Multispectral and hyperspectral observations of plastic litter and ocean color";
    String sensor_nautilos "Downward Looking Sensors / Multispectral and hyperspectral cameras - NIVA";
    String source "RGB, Multispectral and hyperspectral observations of plastic litter and ocean color";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "RGB, Multispectral and hyperspectral observations of plastic litter and ocean color";
    String title "NAUTILOS - RGB, Multispectral and hyperspectral observations of plastic litter and ocean color - NIVA";
  }
}

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.