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ERDDAP > tabledap > Subset ?

Dataset Title:  Glider - cp_336-20190408T0014-delayed Subscribe RSS
Institution:  OOI Coastal & Global Scale Nodes (CGSN)   (Dataset ID: cp_336_20190408t0014_delayed)
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: 29)
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: cp_336-20190408T0014
    wmo_id ?  =  1 option: 4801955
    profile_id ?  =  29 options
    time ?  =  29 options
    latitude ?  =  degrees_north   29 options
    longitude ?  =  degrees_east   29 options
    time_uv ?  =  16 options
    lat_uv ?  =  degrees_north   16 options
    lon_uv ?  =  degrees_east   16 options
    u ?  =  m s-1   13 options
    v ?  =  m s-1   13 options

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 profile_id time latitude longitude time_uv lat_uv lon_uv u v
UTC degrees_north degrees_east UTC degrees_north degrees_east m s-1 m s-1
cp_336-20190408T0014 4801955 1 2019-04-08T00:27:12Z 39.95944316529099 -70.99901757334473 2019-04-08T00:32:56Z 39.95934072225574 -70.99841247929163 0.18018 0.146086
cp_336-20190408T0014 4801955 2 2019-04-08T00:36:43Z 39.959174932280334 -70.99804153913081 2019-04-08T00:32:56Z 39.95934072225574 -70.99841247929163 0.18018 0.146086
cp_336-20190408T0014 4801955 3 2019-04-08T01:02:53Z 39.961035017340045 -70.99613254775554 2019-04-08T01:08:45Z 39.96109 -70.99611333333333 0.18018 0.146086
cp_336-20190408T0014 4801955 4 2019-04-08T02:15:13Z 39.96349857807456 -70.98669132093865 2019-04-08T02:20:56Z 39.96352000000001 -70.98660499999998 0.18018 0.146086
cp_336-20190408T0014 4801955 5 2019-04-08T03:18:36Z 39.96305287183055 -70.97748069903668 2019-04-08T03:24:08Z 39.96243181013315 -70.97668481141915 0.245796 -0.0646672
cp_336-20190408T0014 4801955 6 2019-04-08T03:27:53Z 39.9619312722615 -70.97611041081605 2019-04-08T03:24:08Z 39.96243181013315 -70.97668481141915 0.245796 -0.0646672
cp_336-20190408T0014 4801955 7 2019-04-08T04:10:54Z 39.961608599000954 -70.97056339475758 2019-04-08T04:16:55Z 39.961585 -70.97046333333334 0.245796 -0.0646672
cp_336-20190408T0014 4801955 8 2019-04-08T04:58:30Z 39.95856814794179 -70.96490628009703 2019-04-08T05:04:13Z 39.95788888106172 -70.96480033662964 0.141267 -0.145817
cp_336-20190408T0014 4801955 9 2019-04-08T05:08:21Z 39.95730849712019 -70.96478181373787 2019-04-08T05:04:13Z 39.95788888106172 -70.96480033662964 0.141267 -0.145817
cp_336-20190408T0014 4801955 10 2019-04-08T05:36:06Z 39.95598916781363 -70.96317401232544 2019-04-08T05:41:25Z 39.955423454051854 -70.9632458320995 0.120044 -0.145644
cp_336-20190408T0014 4801955 11 2019-04-08T05:45:14Z 39.954972643359916 -70.9633501121528 2019-04-08T05:41:25Z 39.955423454051854 -70.9632458320995 0.120044 -0.145644
cp_336-20190408T0014 4801955 12 2019-04-08T06:07:51Z 39.95351000768289 -70.9623729910965 2019-04-08T06:13:57Z 39.95278898143071 -70.9626304182437 0.0346409 -0.200988
cp_336-20190408T0014 4801955 13 2019-04-08T06:17:27Z 39.95234215589465 -70.9628598186236 2019-04-08T06:13:57Z 39.95278898143071 -70.9626304182437 0.0346409 -0.200988
cp_336-20190408T0014 4801955 14 2019-04-08T06:40:20Z 39.950850318529426 -70.96295633842544 2019-04-08T06:45:52Z 39.95030902317648 -70.96327427193958 2.73611E-4 -0.201758
cp_336-20190408T0014 4801955 15 2019-04-08T06:50:05Z 39.949874762512636 -70.96356887503504 2019-04-08T06:45:52Z 39.95030902317648 -70.96327427193958 2.73611E-4 -0.201758
cp_336-20190408T0014 4801955 16 2019-04-08T07:12:47Z 39.94787857793235 -70.96412540434576 2019-04-08T07:18:55Z 39.94746267366177 -70.9645075434389 -0.00488733 -0.230726
cp_336-20190408T0014 4801955 17 2019-04-08T07:22:55Z 39.947210886763266 -70.9647905627092 2019-04-08T07:18:55Z 39.94746267366177 -70.9645075434389 -0.00488733 -0.230726
cp_336-20190408T0014 4801955 18 2019-04-08T07:40:39Z 39.94626630213131 -70.96560699535341 2019-04-08T07:47:27Z 39.94602162055176 -70.96602879738602 -0.0397287 -0.184186
cp_336-20190408T0014 4801955 19 2019-04-08T07:50:15Z 39.94592479821576 -70.96625736158904 2019-04-08T07:47:27Z 39.94602162055176 -70.96602879738602 -0.0397287 -0.184186
cp_336-20190408T0014 4801955 20 2019-04-08T08:13:30Z 39.945483106016276 -70.96739496742896 2019-04-08T08:18:54Z 39.94559813563116 -70.96756123168744 -0.0536711 -0.110874
cp_336-20190408T0014 4801955 21 2019-04-08T08:21:52Z 39.9456671261717 -70.96765038869367 2019-04-08T08:18:54Z 39.94559813563116 -70.96756123168744 -0.0536711 -0.110874
cp_336-20190408T0014 4801955 22 2019-04-08T08:43:35Z 39.94555428616547 -70.96853760007052 2019-04-08T08:49:44Z 39.94545133672762 -70.96869437301302 -0.0837561 -0.188726
cp_336-20190408T0014 4801955 23 2019-04-08T08:52:23Z 39.94543879424749 -70.96874223247671 2019-04-08T08:49:44Z 39.94545133672762 -70.96869437301302 -0.0837561 -0.188726
cp_336-20190408T0014 4801955 24 2019-04-08T09:10:04Z 39.94516399819811 -70.96945856093933 2019-04-08T09:16:40Z 39.94509599898085 -70.96964871471205 -0.098598 -0.143746
cp_336-20190408T0014 4801955 25 2019-04-08T09:19:36Z 39.94510417588898 -70.96972835068689 2019-04-08T09:16:40Z 39.94509599898085 -70.96964871471205 -0.098598 -0.143746
cp_336-20190408T0014 4801955 26 2019-04-08T09:42:19Z 39.94497298415766 -70.9709737399241 2019-04-08T09:48:01Z 39.94500216820128 -70.97114474134929 -0.11395 -0.138125
cp_336-20190408T0014 4801955 27 2019-04-08T09:50:58Z 39.94503099394182 -70.97120020353363 2019-04-08T09:48:01Z 39.94500216820128 -70.97114474134929 -0.11395 -0.138125
cp_336-20190408T0014 4801955 28 2019-04-08T10:12:36Z 39.94575228226306 -70.97279201774087 2019-04-08T10:18:24Z 39.94603023879907 -70.97293607446191 -0.132253 -0.00428468
cp_336-20190408T0014 4801955 29 2019-04-08T10:21:18Z 39.94619219982234 -70.97297470411516 2019-04-08T10:18:24Z 39.94603023879907 -70.97293607446191 -0.132253 -0.00428468

In total, there are 29 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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