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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Seabird at-sea density anomaly Subscribe RSS
Institution:  Farallon Institute;NOAA NWFSC   (Dataset ID: cciea_B_AS_DENS)
Range: time = 1987-01-01T00:00:00Z to 2024-01-01T00:00:00Z
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Data Access Form
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ? 		Optional
Constraint #2 ?
       
   
- +
       
       
       
       
 
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.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    [The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 5.364576e+8, 1.7040672e+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";
  }
  density_anomaly {
    Float32 actual_range -2.366071, 2.450231;
    String ioos_category "Other";
    String long_name "Density anomaly";
    String units "anomaly";
  }
  species_cohort {
    String ioos_category "Other";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String contributor_email "tom.good@noaa.gov";
    String contributor_name "Good";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, NCCSV-1.2";
    String defaultGraphQuery "time,density_anomaly&species_cohort=\"Cassins auklet (Ce CC, Summer)\"&.draw=linesAndMarkers";
    String history 
"last updated: 2025-01-16 06:00:01
2025-05-16T11:42:33Z (local files)
2025-05-16T11:42:33Z http://erddap.caloos.org/tabledap/cciea_B_AS_DENS.das";
    String infoUrl "https://www.integratedecosystemassessment.noaa.gov/regions/california-current/about-california-current-integrated-ecosystem-assessment";
    String institution "Farallon Institute;NOAA NWFSC";
    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 sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "species_cohort";
    String summary "Data are from the SWFSC Rockfish Recruitment and Ecosystem Assessment Survey (https://swfsc.noaa.gov/textblock.aspx?Division=FED&ParentMenuId=54&id=20615), courtesy of Dr. Bill Sydeman of the Farallon Institute (wsydeman@faralloninstitute.org).. Additional Calculations: Data are shipboard counts, transformed as ln(bird density/km-2 +1) and expressed as an anomaly of log density relative to the long-term mean.;Data from Jen Zamon (jen.zamon@noaa.gov). Data are shipboard counts conducted during the NOAA Northwest Fisheries Science Center's Juvenile Salmon & Ocean Ecosystem Survey (JSOES). Additional Calculations: Data are shipboard counts, transformed as ln(bird density/km-2 +1) and expressed as an anomaly of log density relative to the long-term mean.;Data are from CalCOFI surveys (http://calcofi.org/field-work/underway-observations/380-bird-observations.html), courtesy of Dr. Bill Sydeman of the Farallon Institute (wsydeman@faralloninstitute.org). Additional Calculations: Data are shipboard counts, transformed as ln(bird density/km2 +1) and expressed as an anomaly of log density relative to the long-term mean.";
    String time_coverage_end "2024-01-01T00:00:00Z";
    String time_coverage_start "1987-01-01T00:00:00Z";
    String title "Seabird at-sea density anomaly";
  }
}

 

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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