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Dataset Title:  Particulate Organic Matter (POM) data from the 2019 Gulf of Alaska
International Year of the Salmon Expedition
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Institution:  University of British Columbia   (Dataset ID: IYS_2019_POM)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 Sample_ID ?          "#3"    "P99"
 station ?          1    60
 latitude (degrees_north) ?          47.662    56.667
  < slider >
 longitude (degrees_east) ?          -147.501    -128.523
  < slider >
 time (Event Date, UTC) ?          2019-02-18T21:30:00Z    2019-03-14T15:59:00Z
  < slider >
 bottom_depth (m) ?          2300    4800
 sample_type ?      
   - +  ?
 depth (Sample Depth, m) ?      
   - +  ?
  < slider >
 volume_filtered (mL) ?          800    2000
 acidified ?          "no"    "yes"
 delta_13C (parts per thousand (‰)) ?          -28.29    -23.07
 total_c (Total Carbon, micro grams (µg)) ?          52.84    346.13
 c_comment (Carbon Measurement Comments) ?          "NA"    "Precision decrease..."
 delta_15N (Δ15 NAir (‰), ppt (‰)) ?          -0.55    6.12
 total_n (micro grams (µg)) ?          11.48    51.27
 n_comment (Nitrogen Measurement Comments) ?          "NA"    "Precision decrease..."
 
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 {
  Sample_ID {
    String ioos_category "Identifier";
    String long_name "Sample ID";
  }
  station {
    String _Unsigned "false";
    Byte actual_range 1, 60;
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 47.662, 56.667;
    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";
    Float32 actual_range -147.501, -128.523;
    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";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5505254e+9, 1.55257914e+9;
    String axis "T";
    String cf_role "profile_id";
    String ioos_category "Time";
    String long_name "Event Date";
    String source_name "eventDate";
    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";
  }
  bottom_depth {
    Int16 actual_range 2300, 4800;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Bottom Depth";
    String standard_name "sea_floor_depth_below_sea_surface";
    String units "m";
  }
  sample_type {
    String ioos_category "Unknown";
    String long_name "Sample Type";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    String _Unsigned "false";
    Byte actual_range 5, 5;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sample Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  volume_filtered {
    Int16 actual_range 800, 2000;
    String description "The volume of sea-water filtered through a vacuum pump onto glass fibre filters";
    String ioos_category "Unknown";
    String long_name "Volume Filtered";
    String units "mL";
  }
  acidified {
    String ioos_category "Unknown";
    String long_name "Acidified";
  }
  delta_13C {
    Float32 actual_range -28.29, -23.07;
    String ioos_category "Unknown";
    String long_name "Δ13 CVPDB (‰)";
    String units "parts per thousand (‰)";
  }
  total_c {
    Float32 actual_range 52.84, 346.13;
    String ioos_category "Unknown";
    String long_name "Total Carbon";
    String units "micro grams (µg)";
  }
  c_comment {
    String ioos_category "Unknown";
    String long_name "Carbon Measurement Comments";
  }
  delta_15N {
    Float32 actual_range -0.55, 6.12;
    String ioos_category "Unknown";
    String long_name "Δ15 NAir (‰)";
    String units "ppt (‰)";
  }
  total_n {
    Float32 actual_range 11.48, 51.27;
    String ioos_category "Statistics";
    String long_name "Total Nitrogen";
    String units "micro grams (µg)";
  }
  n_comment {
    String ioos_category "Statistics";
    String long_name "Nitrogen Measurement Comments";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeriesProfile";
    String cdm_profile_variables "time";
    String cdm_timeseries_variables "station,latitude,longitude";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Natalie Mahara";
    String creator_type "Person";
    String DOI "https://doi.org/10.21966/h1f2-0377";
    Float64 Easternmost_Easting -128.523;
    String featureType "TimeSeriesProfile";
    Float64 geospatial_lat_max 56.667;
    Float64 geospatial_lat_min 47.662;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -128.523;
    Float64 geospatial_lon_min -147.501;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2023-12-09T07:40:11Z (local files)
2023-12-09T07:40:11Z https://data.cioospacific.ca/erddap/tabledap/IYS_2019_POM.html";
    String id "https://doi.org/10.21966/h1f2-0377";
    String infoUrl "http://yearofthesalmon.org";
    String institution "University of British Columbia";
    String keywords "International Year of the Salmon (IYS), ocean chemistry, oceans, particulate organic matter";
    String license "https://creativecommons.org/licenses/by/4.0/";
    Float64 Northernmost_Northing 56.667;
    String platform "ship";
    String platform_vocabulary "https://vocab.nerc.ac.uk/collection/L06/current/";
    String project "International Year of the Salmon (IYS)";
    String publisher "North Pacific Anadromous Fish Commission";
    String publisher_type "Organization";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 47.662;
    String standard_name_vocabulary "CF Standard Name Table v79";
    String subsetVariables "sample_type, depth";
    String summary "Particulate Organic Matter (POM) samples were collected for the analysis of carbon and nitrogen content and stable isotope composition at all oceanographic stations. Samples were collected using Niskin bottles from a depth of 5m. These data were collected as part of the International Year of the Salmon (IYS) Gulf of Alaska High Seas Expedition conducted in February and March 2019, to further improve the understanding of factors impacting salmon early marine winter survival.";
    String time_coverage_end "2019-03-14T15:59:00Z";
    String time_coverage_start "2019-02-18T21:30:00Z";
    String title "Particulate Organic Matter (POM) data from the 2019 Gulf of Alaska International Year of the Salmon Expedition";
    Float64 Westernmost_Easting -147.501;
  }
}

 

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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