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ERDDAP > tabledap > Subset ?

Dataset Title:  Glider - Howdy-20160902T1836 Subscribe RSS
Institution:  TAMU_GERG   (Dataset ID: howdy_20160902t1836)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 25)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    trajectory ?  =  1 option: Howdy_20160902T183612Z
    wmo_id ?  =  1 option: 4801915
    time ?  =  25 options
    latitude ?  =  degrees_north   25 options
    longitude ?  =  degrees_east   25 options
    profile_id ?  =  25 options
    time_uv ?  =  25 options
    lat_uv ?  =  degrees_north   25 options
    lon_uv ?  =  degrees_east   25 options
    u ?  =  m s-1   1 option: 0.0
    v ?  =  m s-1   1 option: 0.0

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

 
Map of Distinct Data ?   (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 ?

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)  

trajectory wmo_id time latitude longitude profile_id time_uv lat_uv lon_uv u v
UTC degrees_north degrees_east UTC degrees_north degrees_east m s-1 m s-1
Howdy_20160902T183612Z 4801915 2016-09-02T18:38:33Z 28.08620466196029 -90.57129760748319 1 2016-09-02T18:38:33Z 28.08620466196029 -90.57129760748319 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-02T18:48:14Z 28.085362549543348 -90.5719260538471 2 2016-09-02T18:48:14Z 28.085362549543348 -90.5719260538471 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-02T19:24:37Z 28.082738173326717 -90.57278606114862 3 2016-09-02T19:24:37Z 28.082738173326717 -90.57278606114862 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-02T19:34:05Z 28.08045057530473 -90.57110205899951 4 2016-09-02T19:34:05Z 28.08045057530473 -90.57110205899951 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-02T21:33:17Z 28.076088184465767 -90.57396267639163 5 2016-09-02T21:33:17Z 28.076088184465767 -90.57396267639163 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-02T22:48:28Z 28.07795381104157 -90.57869756304356 6 2016-09-02T22:48:28Z 28.07795381104157 -90.57869756304356 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T01:11:21Z 28.081499405909994 -90.58769614294872 7 2016-09-03T01:11:21Z 28.081499405909994 -90.58769614294872 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T04:15:43Z 28.078167788948036 -90.6012880438227 8 2016-09-03T04:15:43Z 28.078167788948036 -90.6012880438227 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T05:28:17Z 28.075520663304637 -90.6047690872933 9 2016-09-03T05:28:17Z 28.075520663304637 -90.6047690872933 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T07:57:29Z 28.070078211221237 -90.61192606238296 10 2016-09-03T07:57:29Z 28.070078211221237 -90.61192606238296 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T10:50:32Z 28.068078843035302 -90.61761706797162 11 2016-09-03T10:50:32Z 28.068078843035302 -90.61761706797162 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T12:42:03Z 28.065020845586492 -90.61741399294694 12 2016-09-03T12:42:03Z 28.065020845586492 -90.61741399294694 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T14:45:49Z 28.057411873567563 -90.62069013045715 13 2016-09-03T14:45:49Z 28.057411873567563 -90.62069013045715 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T18:12:59Z 28.05163433086032 -90.62070124820679 14 2016-09-03T18:12:59Z 28.05163433086032 -90.62070124820679 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T20:42:53Z 28.048748034929645 -90.6225452083159 15 2016-09-03T20:42:53Z 28.048748034929645 -90.6225452083159 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-03T23:57:08Z 28.038062650930282 -90.6266516114213 16 2016-09-03T23:57:08Z 28.038062650930282 -90.6266516114213 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-04T05:00:59Z 28.03214716853639 -90.63193527218081 17 2016-09-04T05:00:59Z 28.03214716853639 -90.63193527218081 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-04T06:32:04Z 28.0327123183203 -90.63088592378311 18 2016-09-04T06:32:04Z 28.0327123183203 -90.63088592378311 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-04T09:16:56Z 28.02029556457444 -90.63507286565871 19 2016-09-04T09:16:56Z 28.02029556457444 -90.63507286565871 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-04T13:00:23Z 28.0167610226188 -90.6357122168735 20 2016-09-04T13:00:23Z 28.0167610226188 -90.6357122168735 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-04T16:49:09Z 28.002411793769276 -90.64581132632426 21 2016-09-04T16:49:09Z 28.002411793769276 -90.64581132632426 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-04T19:48:30Z 27.988048072933644 -90.65988971617404 22 2016-09-04T19:48:30Z 27.988048072933644 -90.65988971617404 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-04T23:16:02Z 27.973525286375025 -90.66956976543865 23 2016-09-04T23:16:02Z 27.973525286375025 -90.66956976543865 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-05T05:35:52Z 27.94020905877847 -90.68411477144919 24 2016-09-05T05:35:52Z 27.94020905877847 -90.68411477144919 0.0 0.0
Howdy_20160902T183612Z 4801915 2016-09-05T13:32:48Z 27.896890573886978 -90.69784872805718 25 2016-09-05T13:32:48Z 27.896890573886978 -90.69784872805718 0.0 0.0

In total, there are 25 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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