CORMOCEAN
ERDDAP Easier Access To Scientific Data
| ?   
Brought to you by NOAA NMFS SWFSC ERD

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Cormorant Tag Data Subscribe RSS
Institution:  OSU   (Dataset ID: USACRBRPE19)
Range: longitude = -126.18703 to 9.37985E18°E, latitude = 0.0 to 50.037117°N, depth = 0.0 to 122.58m, time = 2019-06-04T17:52:55Z to 2022-11-29T15:58:36Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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: 
Draw land mask: 
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 ? )
    Click on the map to specify a new center point. ?
Zoom: 
Time range:    |<   -       
[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 1.559670775e+9, 1.669737516e+9;
    String axis "T";
    String description "Timestamps in UTC";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String timezone "UTC";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  device_id {
    Float64 actual_range 191989, 192762;
    String cf_role "timeseries_id";
    String description "The unique identifier assigned to each tag";
    String ioos_category "Identifier";
    String long_name "Device Id";
    Float64 missing_value -999999999;
    String standard_name "device_id";
  }
  datatype {
    String description "Data type indicating GPS when the bird is out of the water, and sampling frequency when the bird is in the water";
    String ioos_category "Unknown";
    String long_name "datatype";
  }
  satellite_count {
    Float64 actual_range 0.0, 22.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "The number of satellites used to calculate the GPS fixes";
    String ioos_category "Statistics";
    String long_name "Satellite Count";
    Float64 missing_value NaN;
    String units "1";
  }
  battery_voltage {
    Float64 _FillValue NaN;
    Float64 actual_range 3600.0, 64512.0;
    String description "Battery voltage in millivolts";
    String ioos_category "Unknown";
    String long_name "Battery Voltage";
    Float64 missing_value NaN;
    String units "10^-3 V";
  }
  battery_charge {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 100.0;
    String description "Battery charge in percent";
    String ioos_category "Unknown";
    String long_name "Battery Charge";
    Float64 missing_value NaN;
    String units "1";
  }
  solar_panel_current {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 255.0;
    String description "Battery charging current by solar panel in milliamperes (mA)";
    String ioos_category "Unknown";
    String long_name "Solar Panel Current";
    Float64 missing_value NaN;
    String units "mA";
  }
  hdop {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 15.9;
    String decription "Horizontal Dilution of Precision of GPS fix";
    String ioos_category "Unknown";
    String long_name "hdop";
    Float64 missing_value NaN;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 50.03711700439453;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude position in degrees North";
    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 _FillValue NaN;
    Float64 actual_range -126.18702697753906, 9.379850133673345e+18;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of the observation point";
    String ioos_category "Location";
    String long_name "Longitude";
    Float64 missing_value NaN;
    String standard_name "longitude";
    String units "degrees_east";
  }
  bird_speed {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 165.0;
    String description "GPS measured ground speed";
    String ioos_category "Currents";
    String long_name "Bird Speed";
    Float64 missing_value NaN;
    String units "m s-1";
  }
  bird_direction {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 56835.0;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String description "GPS measured movement direction";
    String ioos_category "Currents";
    String long_name "Bird Direction";
    Float64 missing_value NaN;
    String units "degrees";
  }
  sensor_temperature {
    Float64 actual_range -1.0, 66.0;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String description "Internal temperature of the sensor";
    String ioos_category "Temperature";
    String long_name "Sensor Temperature";
    Float64 missing_value NaN;
    String units "degree_Celsius";
  }
  magnetometer_x {
    Float64 actual_range -30220.0, 29148.0;
    String description "Magnetic field in x-direction in microtesla";
    String ioos_category "Location";
    String long_name "Magnetometer X";
    Float64 missing_value NaN;
    String units "microtesla";
  }
  magnetometer_y {
    Float64 actual_range -28066.0, 30676.0;
    String description "Magnetic field in y-direction in microtesla";
    String ioos_category "Location";
    String long_name "Magnetometer Y";
    Float64 missing_value NaN;
    String units "microtesla";
  }
  magnetometer_z {
    Float64 actual_range -24447.0, 28661.0;
    String description "Magnetic field in z-direction in microtesla";
    String ioos_category "Location";
    String long_name "Magnetometer Z";
    Float64 missing_value NaN;
    String units "microtesla";
  }
  accelerometer_x {
    Float64 actual_range -2040, 2047;
    String description "Acceleration in x-direction in meters per second squared";
    String ioos_category "Location";
    String long_name "Accelerometer X";
    Float64 missing_value -999999999;
    String units "m s-2";
  }
  accelerometer_y {
    Float64 actual_range -2040, 2043;
    String description "Acceleration in y-direction in meters per second squared";
    String ioos_category "Location";
    String long_name "Accelerometer Y";
    Float64 missing_value -999999999;
    String units "m s-2";
  }
  accelerometer_z {
    Float64 actual_range -2040, 2047;
    String description "Acceleration in z-direction in meters per second squared";
    String ioos_category "Location";
    String long_name "Accelerometer Z";
    Float64 missing_value -999999999;
    String units "m s-2";
  }
  altimeter {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.0;
    String description "Altimeter reading in meters";
    String ioos_category "Unknown";
    String long_name "altimeter";
    Float64 missing_value NaN;
    String units "m";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 122.58;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth in meters, positive downward";
    String ioos_category "Location";
    String long_name "Depth";
    Float64 missing_value NaN;
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  conductivity {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 30.0;
    String description "Sea water electrical conductivity. Proxy for salinity.";
    String ioos_category "Salinity";
    String long_name "conductivity";
    Float64 missing_value NaN;
    String standard_name "sea_water_electrical_conductivity";
    String units "S m-1";
  }
  sea_water_temperature {
    Float64 _FillValue NaN;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String description "In-situ temperature: Pressure-activated recording for both freshwater and saltwater";
    String ioos_category "Temperature";
    String long_name "Sea Water Temperature";
    Float64 missing_value NaN;
    String standard_name "sea_water_temperature";
    String units "degree_Celsius";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "device_id";
    String comment "Processing code available on GitHub at https://github.com/TheCormorantOceanographyProject";
    String Conventions "CF-1.10, ACDD-1.3, IOOS-1.2, COARDS";
    String creator_email "cormocean at oregonstate.edu";
    String creator_institution "Oregon State University";
    String creator_name "Cormorant Oceanography Project";
    String creator_sector "academic";
    String creator_type "group";
    String creator_url "https://www.osudashcams.com/";
    String description "Temperature, Conductivity, depth, and GPS Data from tags in Cormorant Birds";
    Int32 device_id 191989;
    Float64 Easternmost_Easting 9.379850133673345e+18;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 50.03711700439453;
    Float64 geospatial_lat_min 0.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.379850133673345e+18;
    Float64 geospatial_lon_min -126.18702697753906;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 122.58;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"Created on 2025-11-07 14:19:45
2025-12-29T05:56:31Z (local files)
2025-12-29T05:56:31Z https://cormocean.ceoas.oregonstate.edu/tabledap/USACRBRPE19.das";
    String infoUrl "https://doi.org/10.24431/rw1k8ev";
    String institution "OSU";
    String keywords "accelerometer, accelerometer_x, accelerometer_y, accelerometer_z, altimeter, battery, battery_charge, battery_voltage, bird, bird_direction, bird_speed, charge, conductivity, cormorant, count, current, currents, data, datatype, density, depth, device, device_id, direction, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Salinity/Density > Conductivity, electrical, global, gps, hdop, identifier, latitude, longitude, magnetometer, magnetometer_x, magnetometer_y, magnetometer_z, ocean, oceans, oregon, osu, panel, positioning, project, salinity, satellite, satellite_count, science, sea, sea_water_electrical_conductivity, sea_water_temperature, seawater, sensor, sensor_temperature, solar, solar_panel_current, speed, state, statistics, system, tag, temperature, time, university, voltage, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data are openly available to the public. Please acknowledge the use of these data by citing the work listed in the references attribute.";
    Float64 Northernmost_Northing 50.03711700439453;
    String project "USACRBRPE19";
    String references "Peck-Richardson, A., Piggott, A., Lerczak, J., Orben, R. (2024). Cormorant Oceanography Project: Biologging Data from Brandt's and Pelagic Cormorants (Urile penicillatus, U. pelagicus), Columbia River, USA, 2019-2022. Dataset. https://doi.org/10.24431/rw1k8ev";
    String source "Animal-borne Tag";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "device_id, conductivity, sea_water_temperature";
    String summary "Temperature, Conductivity, depth, and Global Positioning System (GPS) Data from tags in Cormorant Birds";
    String time_coverage_end "2022-11-29T15:58:36Z";
    String time_coverage_start "2019-06-04T17:52:55Z";
    String title "Cormorant Tag Data";
    Float64 Westernmost_Easting -126.18702697753906;
  }
}

 

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.


 
ERDDAP, Version 2.27.0
Disclaimers | Privacy Policy | Contact