ERDDAP > tabledap > Subset

Dataset Title:	Glider - cp_340-20160121T1708-delayed
Institution:	OOI Coastal & Global Scale Nodes (CGSN)   (Dataset ID: cp_340_20160121t1708_delayed)
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: 19)
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) cp_340-20160121T1708	1 option: cp_340-20160121T1708
wmo_id	= (ANY) 4801968	1 option: 4801968
profile_id	= (ANY)	1 option:
time	= (ANY) 2016-01-21T17:11:38Z 2016-01-21T18:08:42Z 2016-01-21T18:14:23Z 2016-01-21T18:19:15Z 2016-01-21T18:24:51Z 2016-01-21T18:48:30Z 2016-01-21T19:00:34Z 2016-01-21T19:36:54Z 2016-01-21T19:53:01Z 2016-01-21T20:35:30Z 2016-01-21T20:51:56Z 2016-01-21T21:08:02Z 2016-01-21T21:28:36Z 2016-01-21T22:03:32Z 2016-01-21T22:23:13Z 2016-01-21T22:40:46Z 2016-01-21T22:55:54Z 2016-01-21T23:26:06Z 2016-01-21T23:37:07Z	19 options
latitude	= (ANY) 40.04260223751002 40.04263673229605 40.043092347416646 40.04314961405908 40.04368078303612 40.04393289082926 40.04429146301937 40.044360574415975 40.04514200432222 40.04589662164188 40.04590368073129 40.0464309316276 40.046567707483064 40.04689352946518 40.04714935909721 40.04743910269932 40.048054821187186 40.048056666666675 40.05721484809333  degrees_north	19 options
longitude	= (ANY) -70.70649006809623 -70.70596444640971 -70.7042175772641 -70.70409508295535 -70.70381215125128 -70.70283396837817 -70.70197370343635 -70.70008951989475 -70.69910198812254 -70.69843807769915 -70.69727061619695 -70.69698914021238 -70.6953252888919 -70.69419939119324 -70.69147080958274 -70.68910586042027 -70.68733833333332 -70.68733771600435 -70.68729025801993  degrees_east	19 options
lat_uv	= (ANY) 40.04291337504363 40.043595747996164 40.04416755435081 40.046191237300405 40.0465506710806 40.048056666666675 40.05708392282635  degrees_north	7 options
lon_uv	= (ANY) -70.70482842542701 -70.70317906243022 -70.70233292603567 -70.69806303275078 -70.69300150737766 -70.68756332606101 -70.68733833333333  degrees_east	7 options
time_uv	= (ANY) 2016-01-21T17:12:22Z 2016-01-21T18:17:59Z 2016-01-21T18:56:24Z 2016-01-21T19:46:44Z 2016-01-21T21:05:27Z 2016-01-21T22:30:57Z 2016-01-21T23:33:33Z	7 options
u	= (ANY) -0.232423 -0.130817 -0.0878345 -0.0278382 -0.00241822 0.0796017  m s-1	6 options
v	= (ANY) -0.116849 0.0135182 0.0414436 0.0714788 0.0802545 0.0974597  m s-1	6 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

 

---

Map of Distinct Data   (Refine the map and/or download the image)
Optional: Click on the map to select the closest 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	lat_uv	lon_uv	time_uv	u	v
			UTC	degrees_north	degrees_east	degrees_north	degrees_east	UTC	m s-1	m s-1
cp_340-20160121T1708	4801968		2016-01-21T17:11:38Z	40.05721484809333	-70.68729025801993	40.05708392282635	-70.68756332606101	2016-01-21T17:12:22Z	0.0796017	-0.116849
cp_340-20160121T1708	4801968		2016-01-21T18:08:42Z	40.04743910269932	-70.6953252888919	40.0465506710806	-70.69806303275078	2016-01-21T18:17:59Z	-0.232423	0.0135182
cp_340-20160121T1708	4801968		2016-01-21T18:14:23Z	40.04689352946518	-70.69698914021238	40.0465506710806	-70.69806303275078	2016-01-21T18:17:59Z	-0.232423	0.0135182
cp_340-20160121T1708	4801968		2016-01-21T18:19:15Z	40.0464309316276	-70.69843807769915	40.0465506710806	-70.69806303275078	2016-01-21T18:17:59Z	-0.232423	0.0135182
cp_340-20160121T1708	4801968		2016-01-21T18:24:51Z	40.04590368073129	-70.70008951989475	40.0465506710806	-70.69806303275078	2016-01-21T18:17:59Z	-0.232423	0.0135182
cp_340-20160121T1708	4801968		2016-01-21T18:48:30Z	40.04393289082926	-70.70381215125128	40.04416755435081	-70.70317906243022	2016-01-21T18:56:24Z	-0.130817	0.0414436
cp_340-20160121T1708	4801968		2016-01-21T19:00:34Z	40.04429146301937	-70.70283396837817	40.04416755435081	-70.70317906243022	2016-01-21T18:56:24Z	-0.130817	0.0414436
cp_340-20160121T1708	4801968		2016-01-21T19:36:54Z	40.04263673229605	-70.70596444640971	40.04291337504363	-70.70482842542701	2016-01-21T19:46:44Z	-0.0878345	0.0714788
cp_340-20160121T1708	4801968		2016-01-21T19:53:01Z	40.043092347416646	-70.70409508295535	40.04291337504363	-70.70482842542701	2016-01-21T19:46:44Z	-0.0878345	0.0714788
cp_340-20160121T1708	4801968		2016-01-21T20:35:30Z	40.04260223751002	-70.70649006809623	40.043595747996164	-70.70233292603567	2016-01-21T21:05:27Z	-0.0278382	0.0802545
cp_340-20160121T1708	4801968		2016-01-21T20:51:56Z	40.04314961405908	-70.7042175772641	40.043595747996164	-70.70233292603567	2016-01-21T21:05:27Z	-0.0278382	0.0802545
cp_340-20160121T1708	4801968		2016-01-21T21:08:02Z	40.04368078303612	-70.70197370343635	40.043595747996164	-70.70233292603567	2016-01-21T21:05:27Z	-0.0278382	0.0802545
cp_340-20160121T1708	4801968		2016-01-21T21:28:36Z	40.044360574415975	-70.69910198812254	40.043595747996164	-70.70233292603567	2016-01-21T21:05:27Z	-0.0278382	0.0802545
cp_340-20160121T1708	4801968		2016-01-21T22:03:32Z	40.04514200432222	-70.69727061619695	40.046191237300405	-70.69300150737766	2016-01-21T22:30:57Z	-0.00241822	0.0974597
cp_340-20160121T1708	4801968		2016-01-21T22:23:13Z	40.04589662164188	-70.69419939119324	40.046191237300405	-70.69300150737766	2016-01-21T22:30:57Z	-0.00241822	0.0974597
cp_340-20160121T1708	4801968		2016-01-21T22:40:46Z	40.046567707483064	-70.69147080958274	40.046191237300405	-70.69300150737766	2016-01-21T22:30:57Z	-0.00241822	0.0974597
cp_340-20160121T1708	4801968		2016-01-21T22:55:54Z	40.04714935909721	-70.68910586042027	40.046191237300405	-70.69300150737766	2016-01-21T22:30:57Z	-0.00241822	0.0974597
cp_340-20160121T1708	4801968		2016-01-21T23:26:06Z	40.048054821187186	-70.68733771600435	40.048056666666675	-70.68733833333333	2016-01-21T23:33:33Z	-0.00241822	0.0974597
cp_340-20160121T1708	4801968		2016-01-21T23:37:07Z	40.048056666666675	-70.68733833333332	40.048056666666675	-70.68733833333333	2016-01-21T23:33:33Z	-0.00241822	0.0974597

In total, there are 19 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.

 

---

ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact