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ERDDAP > tabledap > Subset ?

Dataset Title:  Margaree024-20220303T1208 (DFO Margaree Glider test) Subscribe RSS
Institution:  DFO   (Dataset ID: Margaree_c9c6_e29e_09da)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 6)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    GLIDER_HEADING ?  =  deg   1 option: 163.03
    GLIDER_PITCH ?  =  deg   1 option: 0.52
    GLIDER_ROLL ?  =  deg   1 option: 17.26
    profile_index ?  =  1   6 options
    profile_direction ?  =  1   2 options
    temperature_qc ?  =  1   1 option: 2
    pressure_qc ?  =  1   1 option: 2
    conductivity_qc ?  =  1   1 option: 2
    salinity_qc ?  =  1   1 option: 2
    density_qc ?  =  1   1 option: 2
    lon_qc ?  =  1   1 option: 2
    lat_qc ?  =  1   1 option: 2
    depth_qc ?  =  1   1 option: 2
    trajectory ?  =  1 option: Margaree024-20220303T1208
    u ?  =  m s-1   1 option:
    v ?  =  m s-1   1 option:
    profile_id ?  =  6 options
    profile_time ?  =  6 options
    profile_lon ?  =  degrees_east   6 options
    profile_lat ?  =  degrees_north   6 options
    platform ?  =  1 option: 1
    lat_uv ?  =  degrees_north   1 option:
    lon_uv ?  =  degrees_east   1 option:
    time_uv ?  =  1 option:
    instrument_ctd ?  =  1 option: 1

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of All Related Data ?   (Refine the map and/or download the image)

To view the map, check View : Map of All 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.
 


Distinct Data Counts ?

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 ?   (Metadata)    (Refine the data subset and/or download the data)  

GLIDER_HEADING GLIDER_PITCH GLIDER_ROLL profile_index profile_direction temperature_qc pressure_qc conductivity_qc salinity_qc density_qc lon_qc lat_qc depth_qc trajectory u v profile_id profile_time profile_lon profile_lat platform lat_uv lon_uv time_uv instrument_ctd
deg deg deg 1 1 1 1 1 1 1 1 1 1 m s-1 m s-1 UTC degrees_east degrees_north degrees_north degrees_east
163.03 0.52 17.26 113.0 -1.0 2 2 2 2 2 2 2 2 Margaree024-20220303T1208 113 2022-03-05T01:26:12Z -63.25502507703014 44.151943799576436 1 1
163.03 0.52 17.26 114.0 1.0 2 2 2 2 2 2 2 2 Margaree024-20220303T1208 114 2022-03-05T01:59:37Z -63.24724740104509 44.14875909041456 1 1
163.03 0.52 17.26 115.0 -1.0 2 2 2 2 2 2 2 2 Margaree024-20220303T1208 115 2022-03-05T02:30:18Z -63.24035250741543 44.14564355019731 1 1
163.03 0.52 17.26 116.0 1.0 2 2 2 2 2 2 2 2 Margaree024-20220303T1208 116 2022-03-05T03:00:41Z -63.23333307117112 44.14270454862888 1 1
163.03 0.52 17.26 117.0 -1.0 2 2 2 2 2 2 2 2 Margaree024-20220303T1208 117 2022-03-05T03:15:34Z -63.23005929204261 44.14121810065043 1 1
163.03 0.52 17.26 118.0 1.0 2 2 2 2 2 2 2 2 Margaree024-20220303T1208 118 2022-03-05T03:50:52Z -63.27194868725603 44.12654918166646 1 1

In total, there are 6 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 ?

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 ?   (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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