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Dataset Title:  Mobile Gear Oceanographic Data Subscribe RSS
Institution:  CFRF   (Dataset ID: mobile_gear_oceanography)
Range: longitude = -74.00426 to -67.098434°E, latitude = 40.03266 to 43.31542°N, time = 2023-07-31T15:21:55Z to 2025-02-21T02:49:02Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
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Constraints ? Optional
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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.")
 
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    Click on the map to specify a new center point. ?
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[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 1.690816915e+9, 1.740106142e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "observation timestamp";
    String source_name "time_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String timezone "universal_coordinated_time";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  tow_id {
    String comment "Unique idenfier for each time series in the dataset";
    String coordinates "time, latitude, longitude";
    String long_name "time series identifier";
  }
  temperature {
    Float64 _FillValue NaN;
    Float64 actual_range 1.43, 23.77;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "Temperature values were filtered with a low-pass two-way 3-point triangular window filter. Obversations without a pressure record were pre-filtered with a random forest machine learning model to remove observations likely out of the water. The remaining values that pass the filter were averaged hourly.";
    String coordinates "time, latitude, longitude";
    String long_name "Temperature";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.032662, 43.31541933;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String comment "GPS positions are captured by the device handling telemetry at the time of successful offload.";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -74.00426, -67.09843318;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String comment "GPS positions are captured by the device handling telemetry at the time of successful offload.";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sensor_sn {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 704, 845;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String comment "Unique identifier for the sensor";
    String coordinates "time, latitude, longitude";
    String long_name "sensor serial number";
  }
  sensor_type {
    String comment "Type of sensor used to collect data.";
    String coordinates "time, latitude, longitude";
    String long_name "sensor type";
  }
  telemetry_type {
    String comment "Type of telemetry used to collect data.";
    String coordinates "time, latitude, longitude";
    String long_name "telemetry type";
  }
  stat_area {
    Float64 actual_range 464.0, 612.0;
    String comment "Statistical area as defined by the Northeast Fisheries Science Center";
    String coordinates "time, latitude, longitude";
    String long_name "NEFSC Statistical area";
  }
  pressure {
    Float64 _FillValue NaN;
    Float64 actual_range 0.6, 159.5;
    Float64 colorBarMaximum 5000.0;
    Float64 colorBarMinimum 0.0;
    String comment "Strain guage pressure minus atmospheric pressure";
    String coordinates "time, latitude, longitude";
    String long_name "strain guage pressure";
    String standard_name "sea_water_pressure";
    String units "dbar";
  }
  project_id {
    String comment "Unique idenfier for each project in the dataset";
    String coordinates "time, latitude, longitude";
    String long_name "Project Identifier";
  }
  profile_orientation {
    String comment "Cast identifier for profile DOWN indicates downcast UP indicates upcast";
    String coordinates "time, latitude, longitude";
    String long_name "instrument cast orientation";
    String standard_name "profile_cast_orientation";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "CF-1.10, ACDD-1.3, COARDS";
    String creator_name "CFRF";
    String creator_type "institution";
    String creator_url "https://www.cfrfoundation.org/jonah-crab-lobster-research-fleet";
    String data_contact "Linus Stoltz, Data Manager";
    Float64 Easternmost_Easting -67.09843318;
    String email_contact "data@cfrfoundation.org";
    String featureType "Point";
    Float64 geospatial_lat_max 43.31541933;
    Float64 geospatial_lat_min 40.032662;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.09843318;
    Float64 geospatial_lon_min -74.00426;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-02-21T18:18:31Z (local files)
2025-02-21T18:18:31Z https://erddap.ondeckdata.com/tabledap/mobile_gear_oceanography.das";
    String infoUrl "https://www.cfrfoundation.org/jonah-crab-lobster-research-fleet";
    String institution "CFRF";
    String keywords "cast, cooperative research, data, fisheries, fishermen, fishing, moana, oceanography, platform of opportunity, pressure, profiles, temperature";
    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 43.31541933;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.032662;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "tow_id, latitude, longitude, sensor_sn, sensor_type, telemetry_type, stat_area, project_id, profile_orientation";
    String summary "Opportunistic profiles of water temperature collected by hauling and setting traps with pressure enabled temperature loggers";
    String time_coverage_end "2025-02-21T02:49:02Z";
    String time_coverage_start "2023-07-31T15:21:55Z";
    String title "Mobile Gear Oceanographic Data";
    Float64 Westernmost_Easting -74.00426;
  }
}

 

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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