ERDDAP > tabledap > Subset

Dataset Title:	Glider - sp025-20141125T1730
Institution:	Scripps Institution of Oceanography   (Dataset ID: sp025_20141125t1730)
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: 17)
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) sp025-20141125T1730	1 option: sp025-20141125T1730
wmo_id	= (ANY) 4801523	1 option: 4801523
time	= (ANY) 2014-11-25T18:57:30Z 2014-11-25T20:09:30Z 2014-11-25T21:24:45Z 2014-11-25T23:05:45Z 2014-11-26T00:59:45Z 2014-11-26T03:09:15Z 2014-11-26T05:25:45Z 2014-11-26T07:42:00Z 2014-11-26T10:19:45Z 2014-11-26T13:03:45Z 2014-11-26T15:46:30Z 2014-11-26T18:26:45Z 2014-11-26T21:09:30Z 2014-11-26T23:47:30Z 2014-11-27T02:21:45Z 2014-11-27T04:48:30Z 2014-11-27T07:10:30Z	17 options
latitude	= (ANY) 34.2792 34.28098 34.28178 34.28203 34.28278 34.287 34.28718 34.28895 34.29 34.29075 34.2936 34.2937 34.29815 34.3059 34.30818 34.30965 34.31075  degrees_north	17 options
longitude	= (ANY) -120.27222 -120.24427 -120.21732 -120.18707 -120.1507 -120.10777 -120.06592 -120.02555 -119.98432 -119.94538 -119.91552 -119.8946 -119.87372 -119.85277 -119.83065 -119.80965 -119.79025  degrees_east	17 options
profile_id	= (ANY) 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18	17 options
time_uv	= (ANY) 2014-11-25T18:46:00Z 2014-11-25T19:51:00Z 2014-11-25T21:06:30Z 2014-11-25T22:39:30Z 2014-11-26T00:31:30Z 2014-11-26T02:36:30Z 2014-11-26T04:52:30Z 2014-11-26T07:09:00Z 2014-11-26T09:39:30Z 2014-11-26T12:23:30Z 2014-11-26T15:07:00Z 2014-11-26T17:47:30Z 2014-11-26T20:30:00Z 2014-11-26T23:09:00Z 2014-11-27T01:44:30Z 2014-11-27T04:13:00Z 2014-11-27T06:36:00Z	17 options
lat_uv	= (ANY) 34.28035 34.28115 34.28135 34.2817 34.28375 34.28605 34.288 34.2895 34.2914 34.2915 34.2927 34.294 34.3001 34.3076 34.30785 34.3095 34.3105  degrees_north	17 options
lon_uv	= (ANY) -120.26515 -120.23785 -120.21015 -120.17845 -120.1402 -120.09725 -120.05605 -120.0153 -119.97415 -119.93725 -119.91035 -119.8894 -119.86865 -119.84725 -119.8255 -119.8045 -119.787  degrees_east	17 options
u	= (ANY) -0.248316492 -0.180661792 -0.176738766 -0.127812574 -0.120673546 -0.113891443 -0.10649946 -0.105626021 -0.100803305 -0.081286831 -0.060285074 -0.059542709 -0.046486613 -0.035363239 -0.026368005 -0.019458046 -0.016534405  m s-1	17 options
v	= (ANY) -0.155048847 -0.135851558 -0.133206804 -0.119193175 -0.114463881 -0.092792713 -0.059465359 -0.037926066 -0.001249798 0.028720741 0.033345092 0.035562496 0.041391991 0.063888346 0.066619428 0.066967374 0.121272547  m s-1	17 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	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
sp025-20141125T1730	4801523	2014-11-25T18:57:30Z	34.30818	-119.79025	2	2014-11-25T18:46:00Z	34.30785	-119.787	-0.248316492	0.121272547
sp025-20141125T1730	4801523	2014-11-25T20:09:30Z	34.30965	-119.80965	3	2014-11-25T19:51:00Z	34.3095	-119.8045	-0.180661792	0.066619428
sp025-20141125T1730	4801523	2014-11-25T21:24:45Z	34.31075	-119.83065	4	2014-11-25T21:06:30Z	34.3105	-119.8255	-0.176738766	0.066967374
sp025-20141125T1730	4801523	2014-11-25T23:05:45Z	34.3059	-119.85277	5	2014-11-25T22:39:30Z	34.3076	-119.84725	-0.081286831	0.035562496
sp025-20141125T1730	4801523	2014-11-26T00:59:45Z	34.29815	-119.87372	6	2014-11-26T00:31:30Z	34.3001	-119.86865	-0.035363239	0.028720741
sp025-20141125T1730	4801523	2014-11-26T03:09:15Z	34.28895	-119.8946	7	2014-11-26T02:36:30Z	34.2914	-119.8894	-0.019458046	0.033345092
sp025-20141125T1730	4801523	2014-11-26T05:25:45Z	34.2792	-119.91552	8	2014-11-26T04:52:30Z	34.2817	-119.91035	-0.046486613	0.063888346
sp025-20141125T1730	4801523	2014-11-26T07:42:00Z	34.28203	-119.94538	9	2014-11-26T07:09:00Z	34.28035	-119.93725	-0.100803305	0.041391991
sp025-20141125T1730	4801523	2014-11-26T10:19:45Z	34.28718	-119.98432	10	2014-11-26T09:39:30Z	34.28605	-119.97415	-0.105626021	-0.001249798
sp025-20141125T1730	4801523	2014-11-26T13:03:45Z	34.29	-120.02555	11	2014-11-26T12:23:30Z	34.2895	-120.0153	-0.10649946	-0.037926066
sp025-20141125T1730	4801523	2014-11-26T15:46:30Z	34.2937	-120.06592	12	2014-11-26T15:07:00Z	34.2927	-120.05605	-0.113891443	-0.059465359
sp025-20141125T1730	4801523	2014-11-26T18:26:45Z	34.2936	-120.10777	13	2014-11-26T17:47:30Z	34.294	-120.09725	-0.120673546	-0.092792713
sp025-20141125T1730	4801523	2014-11-26T21:09:30Z	34.29075	-120.1507	14	2014-11-26T20:30:00Z	34.2915	-120.1402	-0.127812574	-0.119193175
sp025-20141125T1730	4801523	2014-11-26T23:47:30Z	34.287	-120.18707	15	2014-11-26T23:09:00Z	34.288	-120.17845	-0.060285074	-0.135851558
sp025-20141125T1730	4801523	2014-11-27T02:21:45Z	34.28278	-120.21732	16	2014-11-27T01:44:30Z	34.28375	-120.21015	-0.026368005	-0.155048847
sp025-20141125T1730	4801523	2014-11-27T04:48:30Z	34.28098	-120.24427	17	2014-11-27T04:13:00Z	34.28115	-120.23785	-0.016534405	-0.133206804
sp025-20141125T1730	4801523	2014-11-27T07:10:30Z	34.28178	-120.27222	18	2014-11-27T06:36:00Z	34.28135	-120.26515	-0.059542709	-0.114463881

In total, there are 17 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