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Dataset Title:  Bering Sea Subscribe RSS
Institution:  ???   (Dataset ID: JPL_BERING_HINDCAST)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1080    5 days (even)
  < slider >
 depth (m) ?      22    190.4762 (uneven)
  < slider >
 latitude (degrees_north) ?      450    0.05166693 (uneven)
  < slider >
 longitude (degrees_east) ?      482    0.1 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 dd (averaged detritus-n, mMol N m-3) ?
 ddsi (averaged detritus-si, mMol Si m-3) ?
 nh4 (averaged ammonium, mMol N m-3) ?
 no3 (averaged nitrate, mMol N m-3) ?
 ox (averaged dissolved oxygen, mMol O2 m-3) ?
 po4 (averaged phosphate, mMol P m-3) ?
 s1 (averaged small phytoplankton, mMol N m-3) ?
 s2 (averaged diatom, mMol N m-3) ?
 salt (averaged salinity, 1e-3) ?
 sio4 (averaged silicate, mMol N m-3) ?
 talk (averaged total alkalinity, mMol Eq m-3) ?
 tco2 (averaged total co2, mMol Co2 m-3) ?
 zz1 (averaged micro zooplankton, mMol N m-3) ?
 zz2 (averaged meso zooplankton, mMol N m-3) ?

File type: (more info)

(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 6.31584e+8, 1.097712e+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 units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range -4000.0, -0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 45.8, 68.99845316526574;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 155.2, 203.3;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  dd {
    String ioos_category "Statistics";
    String long_name "averaged detritus-n";
    Float64 missing_value 0.0;
    String standard_name "detritus_n_concentration";
    String units "mMol N m-3";
  }
  ddsi {
    String ioos_category "Dissolved Nutrients";
    String long_name "averaged detritus-si";
    Float64 missing_value 0.0;
    String standard_name "detritus_si_concentration";
    String units "mMol Si m-3";
  }
  nh4 {
    String ioos_category "Dissolved Nutrients";
    String long_name "averaged ammonium";
    Float64 missing_value 0.0;
    String standard_name "ammonium";
    String units "mMol N m-3";
  }
  no3 {
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "averaged nitrate";
    Float64 missing_value 0.0;
    String standard_name "mole_concentration_of_nitrate_in_sea_water";
    String units "mMol N m-3";
  }
  ox {
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved O2";
    String long_name "averaged dissolved oxygen";
    Float64 missing_value 0.0;
    String standard_name "mass_concentration_of_oxygen_in_sea_water";
    String units "mMol O2 m-3";
  }
  po4 {
    Float64 colorBarMaximum 4.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "averaged phosphate";
    Float64 missing_value 0.0;
    String standard_name "mole_concentration_of_phosphate_in_sea_water";
    String units "mMol P m-3";
  }
  s1 {
    String ioos_category "Phytoplankton Species";
    String long_name "averaged small phytoplankton";
    Float64 missing_value 0.0;
    String standard_name "small_phytoplankton_concentration";
    String units "mMol N m-3";
  }
  s2 {
    String ioos_category "Statistics";
    String long_name "averaged diatom";
    Float64 missing_value 0.0;
    String standard_name "diatom";
    String units "mMol N m-3";
  }
  salt {
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "averaged salinity";
    Float64 missing_value 0.0;
    String standard_name "sea_water_salinity";
    String units "1e-3";
  }
  sio4 {
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "averaged silicate";
    Float64 missing_value 0.0;
    String standard_name "mole_concentration_of_silicate_in_sea_water";
    String units "mMol N m-3";
  }
  talk {
    String ioos_category "Unknown";
    String long_name "averaged total alkalinity";
    Float64 missing_value 0.0;
    String standard_name "alkalinity";
    String units "mMol Eq m-3";
  }
  tco2 {
    String ioos_category "CO2";
    String long_name "averaged total co2";
    Float64 missing_value 0.0;
    String standard_name "mass_concentration_of_carbon_dioxide_in_sea_water";
    String units "mMol Co2 m-3";
  }
  zz1 {
    String ioos_category "Zooplankton Abundance";
    String long_name "averaged micro zooplankton";
    Float64 missing_value 0.0;
    String standard_name "micro_zooplankton";
    String units "mMol N m-3";
  }
  zz2 {
    String ioos_category "Zooplankton Abundance";
    String long_name "averaged meso zooplankton";
    Float64 missing_value 0.0;
    String standard_name "meso_zooplankton";
    String units "mMol N m-3";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.DefaultConvention";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    Float64 Easternmost_Easting 203.3;
    Float64 geospatial_lat_max 68.99845316526574;
    Float64 geospatial_lat_min 45.8;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 203.3;
    Float64 geospatial_lon_min 155.2;
    Float64 geospatial_lon_resolution 0.10000000000000005;
    String geospatial_lon_units "degrees_east";
    String history 
"Mon Jun 30 21:26:48 2014: ncatted -O -a _CoordinateAxisType,depth,c,c,Height ./bering_1994_56.nc
Mon Jun 30 21:26:41 2014: ncatted -O -a long_name,depth,c,c,Depth ./bering_1994_56.nc
Mon Jun 30 21:25:48 2014: ncatted -O -a units,depth,c,c,m ./bering_1994_56.nc
Fri Jun 27 20:14:35 2014: ncap2 -s depth*=-1 bering/bering_1994_56.nc new_bering/bering_1994_56.nc
Mon Mar 10 16:23:22 2014: ncea -F -d time,56,56 /mnt/gluster/data/netCDF/bering_hindcast/aice/bering_aice_1994.nc /mnt/gluster/data/netCDF/bering_hindcast/aice/singles/bering_aice_1994_56.nc
2018-04-23T23:14:07Z (local files)
2018-04-23T23:14:07Z http://erddap.axiomdatascience.com/erddap/griddap/JPL_BERING_HINDCAST.das";
    String infoUrl "???";
    String institution "???";
    String keywords "abundance, alkalinity, ammonium, averaged, bering, carbon, carbon dioxide, chemistry, co2, concentration, density, detritus, detritus-n, detritus-si, detritus_n_concentration, detritus_si_concentration, diatom, dioxide, dissolved, dissolved nutrients, dissolved o2, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Oxygen, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Ocean Chemistry > Silicate, Earth Science > Oceans > Salinity/Density > Salinity, mass, mass_concentration_of_carbon_dioxide_in_sea_water, mass_concentration_of_oxygen_in_sea_water, meso, meso_zooplankton, micro, micro_zooplankton, mole, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_phosphate_in_sea_water, mole_concentration_of_silicate_in_sea_water, n02, nh4, nitrate, no3, nutrients, o2, ocean, oceans, oxygen, phosphate, phytoplankton, phytoplankton species, po4, salinity, sea, sea_water_salinity, seawater, silicate, small, small_phytoplankton_concentration, species, statistics, total, water, zooplankton, zooplankton abundance";
    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.";
    String Metadata_Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 68.99845316526574;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 45.8;
    String standard_name_vocabulary "CF-12";
    String summary "Bering Sea";
    String time_coverage_end "2004-10-14T00:00:00Z";
    String time_coverage_start "1990-01-06T00:00:00Z";
    String title "Bering Sea";
    Float64 Westernmost_Easting 155.2;
  }
}

 

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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