ERDDAP > tabledap > Subset

Dataset Title:	cp_336-20190408T0014-delayed
Institution:	OOI Coastal & Global Scale Nodes (CGSN)   (Dataset ID: cp_336-20190408T0014-delayed)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | 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.

wmo_id	= (ANY) 4801955	1 option: 4801955
trajectory	= (ANY) cp_336-20190408T0014	1 option: cp_336-20190408T0014
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 26 27 28 29	29 options
time	= (ANY) 2019-04-08T00:27:12Z 2019-04-08T00:36:43Z 2019-04-08T01:02:53Z 2019-04-08T02:15:13Z 2019-04-08T03:18:36Z 2019-04-08T03:27:53Z 2019-04-08T04:10:54Z 2019-04-08T04:58:30Z 2019-04-08T05:08:21Z 2019-04-08T05:36:06Z 2019-04-08T05:45:14Z 2019-04-08T06:07:51Z 2019-04-08T06:17:27Z 2019-04-08T06:40:20Z 2019-04-08T06:50:05Z 2019-04-08T07:12:47Z 2019-04-08T07:22:55Z 2019-04-08T07:40:39Z 2019-04-08T07:50:15Z 2019-04-08T08:13:30Z 2019-04-08T08:21:52Z 2019-04-08T08:43:35Z 2019-04-08T08:52:23Z 2019-04-08T09:10:04Z 2019-04-08T09:19:36Z 2019-04-08T09:42:19Z 2019-04-08T09:50:58Z 2019-04-08T10:12:36Z 2019-04-08T10:21:18Z	29 options
latitude	= (ANY) 39.94497298415766 39.94503099394182 39.94510417588898 39.94516399819811 39.94543879424749 39.945483106016276 39.94555428616547 39.9456671261717 39.94575228226306 39.94592479821576 39.94619219982234 39.94626630213131 39.947210886763266 39.94787857793235 39.949874762512636 39.950850318529426 39.95234215589465 39.95351000768289 39.954972643359916 39.95598916781363 39.95730849712019 39.95856814794179 39.959174932280334 39.95944316529099 39.961035017340045 39.961608599000954 39.9619312722615 39.96305287183055 39.96349857807456  degrees_north	29 options
longitude	= (ANY) -70.99901757334473 -70.99804153913081 -70.99613254775554 -70.98669132093865 -70.97748069903668 -70.97611041081605 -70.97297470411516 -70.97279201774087 -70.97120020353363 -70.9709737399241 -70.97056339475758 -70.96972835068689 -70.96945856093933 -70.96874223247671 -70.96853760007052 -70.96765038869367 -70.96739496742896 -70.96625736158904 -70.96560699535341 -70.96490628009703 -70.9647905627092 -70.96478181373787 -70.96412540434576 -70.96356887503504 -70.9633501121528 -70.96317401232544 -70.96295633842544 -70.9628598186236 -70.9623729910965  degrees_east	29 options

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)  

wmo_id	trajectory	profile_id	time	latitude	longitude
			UTC	degrees_north	degrees_east
4801955	cp_336-20190408T0014	1	2019-04-08T00:27:12Z	39.95944316529099	-70.99901757334473
4801955	cp_336-20190408T0014	2	2019-04-08T00:36:43Z	39.959174932280334	-70.99804153913081
4801955	cp_336-20190408T0014	3	2019-04-08T01:02:53Z	39.961035017340045	-70.99613254775554
4801955	cp_336-20190408T0014	4	2019-04-08T02:15:13Z	39.96349857807456	-70.98669132093865
4801955	cp_336-20190408T0014	5	2019-04-08T03:18:36Z	39.96305287183055	-70.97748069903668
4801955	cp_336-20190408T0014	6	2019-04-08T03:27:53Z	39.9619312722615	-70.97611041081605
4801955	cp_336-20190408T0014	7	2019-04-08T04:10:54Z	39.961608599000954	-70.97056339475758
4801955	cp_336-20190408T0014	8	2019-04-08T04:58:30Z	39.95856814794179	-70.96490628009703
4801955	cp_336-20190408T0014	9	2019-04-08T05:08:21Z	39.95730849712019	-70.96478181373787
4801955	cp_336-20190408T0014	10	2019-04-08T05:36:06Z	39.95598916781363	-70.96317401232544
4801955	cp_336-20190408T0014	11	2019-04-08T05:45:14Z	39.954972643359916	-70.9633501121528
4801955	cp_336-20190408T0014	12	2019-04-08T06:07:51Z	39.95351000768289	-70.9623729910965
4801955	cp_336-20190408T0014	13	2019-04-08T06:17:27Z	39.95234215589465	-70.9628598186236
4801955	cp_336-20190408T0014	14	2019-04-08T06:40:20Z	39.950850318529426	-70.96295633842544
4801955	cp_336-20190408T0014	15	2019-04-08T06:50:05Z	39.949874762512636	-70.96356887503504
4801955	cp_336-20190408T0014	16	2019-04-08T07:12:47Z	39.94787857793235	-70.96412540434576
4801955	cp_336-20190408T0014	17	2019-04-08T07:22:55Z	39.947210886763266	-70.9647905627092
4801955	cp_336-20190408T0014	18	2019-04-08T07:40:39Z	39.94626630213131	-70.96560699535341
4801955	cp_336-20190408T0014	19	2019-04-08T07:50:15Z	39.94592479821576	-70.96625736158904
4801955	cp_336-20190408T0014	20	2019-04-08T08:13:30Z	39.945483106016276	-70.96739496742896
4801955	cp_336-20190408T0014	21	2019-04-08T08:21:52Z	39.9456671261717	-70.96765038869367
4801955	cp_336-20190408T0014	22	2019-04-08T08:43:35Z	39.94555428616547	-70.96853760007052
4801955	cp_336-20190408T0014	23	2019-04-08T08:52:23Z	39.94543879424749	-70.96874223247671
4801955	cp_336-20190408T0014	24	2019-04-08T09:10:04Z	39.94516399819811	-70.96945856093933
4801955	cp_336-20190408T0014	25	2019-04-08T09:19:36Z	39.94510417588898	-70.96972835068689
4801955	cp_336-20190408T0014	26	2019-04-08T09:42:19Z	39.94497298415766	-70.9709737399241
4801955	cp_336-20190408T0014	27	2019-04-08T09:50:58Z	39.94503099394182	-70.97120020353363
4801955	cp_336-20190408T0014	28	2019-04-08T10:12:36Z	39.94575228226306	-70.97279201774087
4801955	cp_336-20190408T0014	29	2019-04-08T10:21:18Z	39.94619219982234	-70.97297470411516

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.
 

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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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