ERDDAP > tabledap > Subset

Dataset Title:	Glider - Howdy-20160902T1836
Institution:	TAMU_GERG   (Dataset ID: howdy_20160902t1836)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | 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	= (ANY) Howdy_20160902T183612Z	1 option: Howdy_20160902T183612Z
wmo_id	= (ANY) 4801915	1 option: 4801915
time	= (ANY) 2016-09-02T18:38:33Z 2016-09-02T18:48:14Z 2016-09-02T19:24:37Z 2016-09-02T19:34:05Z 2016-09-02T21:33:17Z 2016-09-02T22:48:28Z 2016-09-03T01:11:21Z 2016-09-03T04:15:43Z 2016-09-03T05:28:17Z 2016-09-03T07:57:29Z 2016-09-03T10:50:32Z 2016-09-03T12:42:03Z 2016-09-03T14:45:49Z 2016-09-03T18:12:59Z 2016-09-03T20:42:53Z 2016-09-03T23:57:08Z 2016-09-04T05:00:59Z 2016-09-04T06:32:04Z 2016-09-04T09:16:56Z 2016-09-04T13:00:23Z 2016-09-04T16:49:09Z 2016-09-04T19:48:30Z 2016-09-04T23:16:02Z 2016-09-05T05:35:52Z 2016-09-05T13:32:48Z	25 options
latitude	= (ANY) 27.896890573886978 27.94020905877847 27.973525286375025 27.988048072933644 28.002411793769276 28.0167610226188 28.02029556457444 28.03214716853639 28.0327123183203 28.038062650930282 28.048748034929645 28.05163433086032 28.057411873567563 28.065020845586492 28.068078843035302 28.070078211221237 28.075520663304637 28.076088184465767 28.07795381104157 28.078167788948036 28.08045057530473 28.081499405909994 28.082738173326717 28.085362549543348 28.08620466196029  degrees_north	25 options
longitude	= (ANY) -90.69784872805718 -90.68411477144919 -90.66956976543865 -90.65988971617404 -90.64581132632426 -90.6357122168735 -90.63507286565871 -90.63193527218081 -90.63088592378311 -90.6266516114213 -90.6225452083159 -90.62070124820679 -90.62069013045715 -90.61761706797162 -90.61741399294694 -90.61192606238296 -90.6047690872933 -90.6012880438227 -90.58769614294872 -90.57869756304356 -90.57396267639163 -90.57278606114862 -90.5719260538471 -90.57129760748319 -90.57110205899951  degrees_east	25 options
profile_id	= (ANY) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25	25 options
time_uv	= (ANY) 2016-09-02T18:38:33Z 2016-09-02T18:48:14Z 2016-09-02T19:24:37Z 2016-09-02T19:34:05Z 2016-09-02T21:33:17Z 2016-09-02T22:48:28Z 2016-09-03T01:11:21Z 2016-09-03T04:15:43Z 2016-09-03T05:28:17Z 2016-09-03T07:57:29Z 2016-09-03T10:50:32Z 2016-09-03T12:42:03Z 2016-09-03T14:45:49Z 2016-09-03T18:12:59Z 2016-09-03T20:42:53Z 2016-09-03T23:57:08Z 2016-09-04T05:00:59Z 2016-09-04T06:32:04Z 2016-09-04T09:16:56Z 2016-09-04T13:00:23Z 2016-09-04T16:49:09Z 2016-09-04T19:48:30Z 2016-09-04T23:16:02Z 2016-09-05T05:35:52Z 2016-09-05T13:32:48Z	25 options
lat_uv	= (ANY) 27.896890573886978 27.94020905877847 27.973525286375025 27.988048072933644 28.002411793769276 28.0167610226188 28.02029556457444 28.03214716853639 28.0327123183203 28.038062650930282 28.048748034929645 28.05163433086032 28.057411873567563 28.065020845586492 28.068078843035302 28.070078211221237 28.075520663304637 28.076088184465767 28.07795381104157 28.078167788948036 28.08045057530473 28.081499405909994 28.082738173326717 28.085362549543348 28.08620466196029  degrees_north	25 options
lon_uv	= (ANY) -90.69784872805718 -90.68411477144919 -90.66956976543865 -90.65988971617404 -90.64581132632426 -90.6357122168735 -90.63507286565871 -90.63193527218081 -90.63088592378311 -90.6266516114213 -90.6225452083159 -90.62070124820679 -90.62069013045715 -90.61761706797162 -90.61741399294694 -90.61192606238296 -90.6047690872933 -90.6012880438227 -90.58769614294872 -90.57869756304356 -90.57396267639163 -90.57278606114862 -90.5719260538471 -90.57129760748319 -90.57110205899951  degrees_east	25 options
u	= (ANY) 0.0  m s-1	1 option: 0.0
v	= (ANY) 0.0  m s-1	1 option: 0.0

View:      Map of Distinct Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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Map of Distinct Data   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.

 

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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.
 

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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.
 

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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.
 

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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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