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Dataset Title:  Bio-Oracle Salinity [depthMean] SSP370 2020-2100. Subscribe RSS
Institution:  Bio-Oracle consortium: https://www.bio-oracle.org   (Dataset ID: so_ssp370_2020_2100_depthmean)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      8    3652 days 13h 42m 51s (uneven)
  < slider >
 latitude (degrees_north) ?      3600    0.05 (even)
  < slider >
 longitude (degrees_east) ?      7200    0.05 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 so_max (Maximum Salinity, PSU) ?
 so_ltmax (Long-term maximum Salinity, PSU) ?
 so_mean (Average Salinity, PSU) ?
 so_ltmin (Long-term minimum Salinity, PSU) ?
 so_min (Minimum Salinity, PSU) ?
 so_range (Range Salinity, PSU) ?
 so_sd (Standard deviation Salinity, 1e-3) ?

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5778368e+9, 3.786912e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.975, 89.975;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.975, 179.975;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  so_max {
    Float64 _FillValue -9999.9;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Maximum Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  so_ltmax {
    Float64 _FillValue -9999.9;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Long-term maximum Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  so_mean {
    Float64 _FillValue -9999.9;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Average Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  so_ltmin {
    Float64 _FillValue -9999.9;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Long-term minimum Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  so_min {
    Float64 _FillValue -9999.9;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Minimum Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  so_range {
    Float64 _FillValue -9999.9;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Range Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  so_sd {
    Float64 _FillValue -9999.9;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Standard deviation Salinity";
    String units "1e-3";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.3,hdf5=1.10.4";
    String cdm_data_type "Grid";
    String comment "Uses attributes recommended by https://cfconventions.org";
    String Conventions "CF-1.5";
    String creator_name "Bio-Oracle consortium: https://www.bio-oracle.org";
    String creator_url "https://www.bio-oracle.org";
    Float64 Easternmost_Easting 179.975;
    String experiment "ssp370";
    Float64 geospatial_lat_max 89.975;
    Float64 geospatial_lat_min -89.975;
    Float64 geospatial_lat_resolution 0.049999999999999996;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.975;
    Float64 geospatial_lon_min -179.975;
    Float64 geospatial_lon_resolution 0.049999999999999996;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_GeoTransform "-180 0.05 0 90 0 -0.05";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_long_name "CRS definition";
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]";
    String history 
"File created: 2022-10-22 00:49:49
2024-12-06T22:43:43Z (local files)
2024-12-06T22:43:43Z http://erddap.bio-oracle.org/erddap/griddap/so_ssp370_2020_2100_depthmean.das";
    String infoUrl "https://www.bio-oracle.org";
    String institution "Bio-Oracle consortium: https://www.bio-oracle.org";
    String keywords "average, bio, bio-oracle, consortium, data, density, depthmean, deviation, earth, Earth Science > Oceans > Salinity/Density > Salinity, long, long-term, maximum, minimum, ocean, oceans, oracle, oracle.org, practical, range, salinity, science, sea, sea_water_practical_salinity, seawater, so_ltmax, so_ltmin, so_max, so_mean, so_min, so_range, so_sd, standard, statistics, term, time, water, www.bio, www.bio-oracle.org";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 89.975;
    String references "https://www.bio-oracle.org";
    String source "Bio-Oracle version V3.0";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.975;
    String standard_name "sea_water_salinity";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Uses attributes recommended by https://cfconventions.org";
    String time_coverage_end "2090-01-01T00:00:00Z";
    String time_coverage_start "2020-01-01T00:00:00Z";
    String title "Bio-Oracle Salinity [depthMean] SSP370 2020-2100.";
    Float64 Westernmost_Easting -179.975;
  }
}

 

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


 
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