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Dataset Title:  NAUTILOS - Algal Bloom from citizen science Subscribe RSS
Institution:  CNR ISTI   (Dataset ID: algal_bloom)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 date (UTC) ?          2023-06-21T07:12:54Z    
 latitude (degrees_north) ?          35.295018    43.7190709
  < slider >
 longitude (degrees_east) ?          10.4208085    25.426343
  < slider >
 location_name ?          "Analipsi"    "Test location"
 depth (m) ?          1.0    5.0
  < slider >
 sea_zone (Sea Level) ?          "Coastal"    "Coastal"
 sea_bottom_type ?          "Mud"    "Sand"
 description ?          "Test description"    "Test description"
 species_taxom_name ?          "Algae"    "Test"
 sample_volume ?          "1"    "5"
 weather_type ?          "Ice"    "Sun"
 user ?          "1"    "6"
 author ?          "algalbloom"    "algalbloom"
 timestamp (UTC) ?          2023-06-29T07:17:54.045Z    2024-08-01T10:54:28.364Z
 image ?          "data:image/png;bas..."    "data:image/png;bas..."
 thumbnail ?          "data:image/png;bas..."    "data:image/png;bas..."
 command ?          0    0
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.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 {
  date {
    Float64 actual_range 1.687331574e+9, NaN;
    String ioos_category "Time";
    String long_name "Date";
    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 35.295018, 43.7190709;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    Float64 missing_value NaN;
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 10.4208085, 25.426343;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    Float64 missing_value NaN;
    String standard_name "longitude";
    String units "degrees_east";
  }
  location_name {
    String long_name "Location Name";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 1.0, 5.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Depth";
    Float64 missing_value NaN;
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  sea_zone {
    String long_name "Sea Level";
  }
  sea_bottom_type {
    String long_name "Sea Bottom Type";
  }
  description {
    String long_name "Description";
  }
  species_taxom_name {
    String long_name "Species Taxom Name";
  }
  sample_volume {
    String long_name "sample_volume";
  }
  weather_type {
    String long_name "Weather Type";
  }
  user {
    String long_name "User";
  }
  author {
    String comment "The values in this column identify the author who added each row of data to the dataset.";
    String long_name "Author";
  }
  timestamp {
    Float64 actual_range 1.688023074045e+9, 1.722509668364e+9;
    String comment "The values in this column are added by ERDDAP to identify when each row of data was added to the data file. NOTE! This is an unusual dataset in that the data files are actually log files. Normally, when you request data from this dataset, ERDDAP processes the insert (command=0) and delete (command=1) commands in the log files to return data from the current version of this dataset. However, if you make a request which includes &timestamp<= , then ERDDAP will return the dataset as it was at that point in time. Or, if you make a request which includes &timestamp> (or >= or =), e.g., &timestamp>0, then ERDDAP will return the raw data from the log files.";
    String ioos_category "Time";
    String long_name "Timestamp";
    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";
  }
  image {
    String long_name "Image";
  }
  thumbnail {
    String long_name "thumbnail";
  }
  command {
    String _Unsigned "false";
    Byte actual_range 0, 0;
    String comment "This is an unusual dataset in that the data files are actually log files. Normally, when you request data from this dataset, ERDDAP processes the insert (command=0) and delete (command=1) commands in the log files to return data from the current version of this dataset. However, if you make a request which includes &timestamp<= , then ERDDAP will return the dataset as it was at that point in time. Or, if you make a request which includes &timestamp> (or >= or =), e.g., &timestamp>0, then ERDDAP will return the raw data from the log files.";
    String flag_meanings "insert delete";
    Byte flag_values 0, 1;
    String long_name "Command";
    Byte missing_value 127;
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Citation "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 Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 25.426343;
    String EDMERP_code "13720";
    String funding_ID "101000825";
    String funding_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";
    Float64 geospatial_lat_max 43.7190709;
    Float64 geospatial_lat_min 35.295018;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 25.426343;
    Float64 geospatial_lon_min 10.4208085;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T18:56:10Z (local files)
2024-11-23T18:56:10Z http://data-nautilos-h2020.eu/erddap/tabledap/algal_bloom.html";
    String httpGetDirectoryStructure "user/date";
    String httpGetRequiredVariables "species_taxom_name,date,latitude,longitude";
    String infoUrl "https://www.nautilos-h2020.eu/";
    String institution "CNR ISTI";
    String keywords "author, bottom, command, data, date, depth, identifier, image, latitude, level, local, location_name, longitude, name, sea, sea_bottom_type, sea_zone, source, species, species_taxom_name, taxom, timestamp, type, user, weather, weather_type";
    String license "Data is licensed under a Creative Commons Attribution 4.0 International License. You should have received a copy of the license along with this work. If not, see https://creativecommons.org/licenses/by/4.0/.";
    Float64 Northernmost_Northing 43.7190709;
    String Project_DOI "https://doi.org/10.3030/101000825";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 35.295018;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Algal Bloom from citizen science";
    String testOutOfDate "now-1day";
    String title "NAUTILOS - Algal Bloom from citizen science";
    Float64 Westernmost_Easting 10.4208085;
  }
}

 

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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