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ERDDAP > tabledap > Subset ?This interactive web page helps you select a subset of this dataset and view a map and a table of the selected data.

This web page just simplifies the creation of a certain type of tabledap URL. To see and use these URLs, see the Refine ... links below.

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Dataset Title:  CeNCOOS in-situ water monitoring data from Fort Point in San Francisco bay,
California, USA: real-time measurements taken by Bodega Marine Laboratory,
University of California Davis.
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Institution:  Bodega Marine Laboratory, University of California Davis   (Dataset ID: FPT_WTS_latest)
Information:  Summary ?Water monitoring data collected in situ in San Francisco at a single location at Fort Point from March 2009 to the present.  The data include temperature, conductivity, pressure, salinity and density measurements from a Conductivity, Temperature, Depth (CTD).  Additional sensors collected chlorophyll fluorescence. The data were collected by The Univeristy of California Davis\' Bodega Marine Laboratory

cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
altitude (Height above mean sea level, m)
station_name
latitude (latitude in decimal degree north, degrees_north)
longitude (longitude in decimal degree east, degrees_east)
wtemp (Water temperature, IPTS-90, degree_Celsius)
cond (Conductivity, S)
density (kg m-3)
chl_conc (In vivo fluorometric chlorophyll concentration, microg L-1)
water_press (Water Pressure, dbar)
sal (Salinity, IPSS-78, PSU)
')" onmouseout="UnTip()" > | License ?These data may be used and redistributed for free but are not intended for legal use, since they may contain inaccuracies. For use for publication or presentations please reference the Central and Northern California Ocean Observing System (CeNCOOS) and NOAA. Neither the data provider, CeNCOOS, 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.')" onmouseout="UnTip()" > | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 1)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    altitude ?  Float32 altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float32 actual_range -1.9, -1.9;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Height above mean sea level";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
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 =  m   1 option: -1.9
    latitude ?  Float32 latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 37.80663, 37.80663;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "latitude in decimal degree north";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
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 =  degrees_north   1 option: 37.80663
    longitude ?  Float32 longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -122.4662, -122.4662;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "longitude in decimal degree east";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
')" onmouseout="UnTip()" >
 =  degrees_east   1 option: -122.46625

View:      Map of Distinct Data ?View a map of the distinct/unique combinations
of matching data.')" onmouseout="UnTip()" >
     Distinct Data Counts ?View a table with counts of distinct combinations of data matching the variables and constraints above. The table shows all of the values of the last-selected variable, not just the last selected value.')" onmouseout="UnTip()" >     Distinct Data ?View a table of distinct combinations of data matching the variables and constraints above, showing up to 0/10/100/1000/10000/100000 rows of data. The table only shows the variables listed above.

WARNING: A table with 10000 rows may take a minute to load.  A table with 100000 rows will take several minutes to load and may crash your browser. Use 10000 and 100000 only if you really need them.')" onmouseout="UnTip()" >      Related Data Counts ?View a table with counts of the matching, raw data. The table shows all of the values of the last-selected variable, not just the last selected value.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.')" onmouseout="UnTip()" >     Related Data ?View a table of data matching your selections, showing up to 0/10/100/1000/10000/100000 rows of data. The table shows all of the dataset\'s variables, not just the ones listed above.

WARNING: A table with 10000 rows may take a minute to load.  A table with 100000 rows will take several minutes to load and may crash your browser. Use 10000 and 100000 only if you really need them.')" onmouseout="UnTip()" >

 
Map of Distinct Data ?View a map of the distinct/unique combinations
of matching data.')" onmouseout="UnTip()" >   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.
Map of Distinct Data
 

Distinct Data Counts ?View a table with counts of distinct combinations of data matching the variables and constraints above. The table shows all of the values of the last-selected variable, not just the last selected value.')" onmouseout="UnTip()" >

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.

 


Distinct Data ?View a table of distinct combinations of data matching the variables and constraints above, showing up to 0/10/100/1000/10000/100000 rows of data. The table only shows the variables listed above.

WARNING: A table with 10000 rows may take a minute to load.  A table with 100000 rows will take several minutes to load and may crash your browser. Use 10000 and 100000 only if you really need them.')" onmouseout="UnTip()" >   (Metadata)    (Refine the data subset and/or download the data)  

altitude latitude longitude
m degrees_north degrees_east
-1.9 37.80663 -122.46625

In total, there are 1 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
 


Related Data Counts ?View a table with counts of the matching, raw data. The table shows all of the values of the last-selected variable, not just the last selected value.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.')" onmouseout="UnTip()" >

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 


Related Data ?View a table of data matching your selections, showing up to 0/10/100/1000/10000/100000 rows of data. The table shows all of the dataset\'s variables, not just the ones listed above.

WARNING: A table with 10000 rows may take a minute to load.  A table with 100000 rows will take several minutes to load and may crash your browser. Use 10000 and 100000 only if you really need them.')" onmouseout="UnTip()" >   (Metadata)    (Refine the data subset and/or download the data)

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.


 
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