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Dataset Title:	Glider - sp066-20200123T1630
Institution:	Woods Hole Oceanographic Institution   (Dataset ID: sp066_20200123t1630)
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: 30)
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) sp066-20200123T1630	1 option: sp066-20200123T1630
wmo_id	= (ANY) 4801932	1 option: 4801932
profile_id	= (ANY) 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 30 31	30 options
time	= (ANY) 2020-01-23T18:02:15Z 2020-01-23T19:15:30Z 2020-01-23T20:36:15Z 2020-01-23T22:10:30Z 2020-01-23T23:54:45Z 2020-01-24T01:42:15Z 2020-01-24T03:23:45Z 2020-01-24T05:01:15Z 2020-01-24T06:34:00Z 2020-01-24T08:16:15Z 2020-01-24T09:51:00Z 2020-01-24T11:27:00Z 2020-01-24T13:04:00Z 2020-01-24T14:45:00Z 2020-01-24T16:26:45Z 2020-01-24T18:23:15Z 2020-01-24T20:47:45Z 2020-01-24T23:27:00Z 2020-01-25T02:13:45Z 2020-01-25T05:08:45Z 2020-01-25T08:23:15Z 2020-01-25T11:58:45Z 2020-01-25T15:53:30Z 2020-01-25T20:00:00Z 2020-01-26T00:12:30Z 2020-01-26T04:17:00Z 2020-01-26T08:15:00Z 2020-01-26T12:04:45Z 2020-01-26T15:42:30Z 2020-01-26T19:04:30Z	30 options
latitude	= (ANY) 25.7401 25.75168 25.76765 25.7862 25.80635 25.83105 25.8602 25.89298 25.92933 25.9706 26.0089 26.047 26.08208 26.11435 26.1476 26.1847 26.23285 26.29133 26.35355 26.4219 26.49815 26.57495 26.64115 26.70395 26.76405 26.8204 26.8815 26.94693 27.01413 27.07758  degrees_north	30 options
longitude	= (ANY) -80.0439 -80.0341 -80.0239 -80.01142 -79.99765 -79.98455 -79.97272 -79.96042 -79.94722 -79.93275 -79.91775 -79.90342 -79.88865 -79.8724 -79.85565 -79.83382 -79.80523 -79.77342 -79.7395 -79.702 -79.66012 -79.61967 -79.5803 -79.54115 -79.50317 -79.46717 -79.43242 -79.40243 -79.37392 -79.34798  degrees_east	30 options
time_uv	= (ANY) 2020-01-23T17:50:30Z 2020-01-23T18:58:00Z 2020-01-23T20:17:30Z 2020-01-23T21:48:00Z 2020-01-23T23:30:30Z 2020-01-24T01:17:30Z 2020-01-24T03:00:30Z 2020-01-24T04:37:30Z 2020-01-24T06:12:00Z 2020-01-24T07:52:30Z 2020-01-24T09:29:00Z 2020-01-24T11:05:00Z 2020-01-24T12:42:00Z 2020-01-24T14:21:00Z 2020-01-24T16:03:30Z 2020-01-24T17:53:30Z 2020-01-24T20:10:30Z 2020-01-24T22:49:00Z 2020-01-25T01:33:30Z 2020-01-25T04:25:30Z 2020-01-25T07:34:30Z 2020-01-25T11:06:30Z 2020-01-25T14:55:00Z 2020-01-25T18:59:00Z 2020-01-25T23:11:00Z 2020-01-26T03:17:00Z 2020-01-26T07:18:00Z 2020-01-26T11:10:30Z 2020-01-26T14:49:00Z 2020-01-26T18:16:00Z	30 options
lat_uv	= (ANY) 25.7384 25.74935 25.764 25.7822 25.802 25.8253 25.8532 25.88475 25.92045 25.961 26.0 26.0385 26.07445 26.107 26.14 26.1754 26.2204 26.27765 26.3388 26.405 26.4795 26.5574 26.6261 26.6887 26.7501 26.8066 26.8665 26.93105 26.99725 27.06215  degrees_north	30 options
lon_uv	= (ANY) -80.0455 -80.0369 -80.0265 -80.01485 -80.0011 -79.9878 -79.97575 -79.96355 -79.95065 -79.9365 -79.9215 -79.90705 -79.8926 -79.8766 -79.86 -79.83965 -79.81275 -79.78135 -79.748 -79.7115 -79.67075 -79.62955 -79.5903 -79.551 -79.51255 -79.47605 -79.44105 -79.40955 -79.38105 -79.35415  degrees_east	30 options
u	= (ANY) -0.096091425 -0.073618841 -0.071587181 -0.050068497 -0.049439474 -0.047355762 -0.045813375 -0.040357443 -0.036677493 -0.033672727 -0.015327385 -0.014096957 -0.014085894 -0.007871963 -0.003988581 0.002770376 0.0059412 0.010467015 0.015160648 0.017640635 0.018516515 0.023531233 0.024517928 0.029697903 0.050504015 0.052970174 0.053788266 0.059061638 0.070484501 0.071266011  m s-1	30 options
v	= (ANY) 0.272440244 0.301048325 0.337976592 0.33813016 0.385828813 0.404007215 0.417513155 0.422103248 0.462574999 0.463206495 0.4877699 0.529695532 0.549799067 0.554198149 0.557411087 0.590750474 0.598738951 0.629577031 0.634795189 0.652668294 0.652862591 0.667646124 0.696496201 0.709804232 0.732723748 0.741560311 0.752797297 0.756203985 0.768346777 0.76872893  m s-1	30 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)  

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
sp066-20200123T1630	4801932	2	2020-01-23T18:02:15Z	25.7401	-80.0439	2020-01-23T17:50:30Z	25.7384	-80.0455	0.017640635	0.301048325
sp066-20200123T1630	4801932	3	2020-01-23T19:15:30Z	25.75168	-80.0341	2020-01-23T18:58:00Z	25.74935	-80.0369	0.0059412	0.272440244
sp066-20200123T1630	4801932	4	2020-01-23T20:36:15Z	25.76765	-80.0239	2020-01-23T20:17:30Z	25.764	-80.0265	-0.014085894	0.385828813
sp066-20200123T1630	4801932	5	2020-01-23T22:10:30Z	25.7862	-80.01142	2020-01-23T21:48:00Z	25.7822	-80.01485	-0.015327385	0.337976592
sp066-20200123T1630	4801932	6	2020-01-23T23:54:45Z	25.80635	-79.99765	2020-01-23T23:30:30Z	25.802	-80.0011	-0.033672727	0.33813016
sp066-20200123T1630	4801932	7	2020-01-24T01:42:15Z	25.83105	-79.98455	2020-01-24T01:17:30Z	25.8253	-79.9878	-0.050068497	0.422103248
sp066-20200123T1630	4801932	8	2020-01-24T03:23:45Z	25.8602	-79.97272	2020-01-24T03:00:30Z	25.8532	-79.97575	-0.049439474	0.549799067
sp066-20200123T1630	4801932	9	2020-01-24T05:01:15Z	25.89298	-79.96042	2020-01-24T04:37:30Z	25.88475	-79.96355	-0.045813375	0.634795189
sp066-20200123T1630	4801932	10	2020-01-24T06:34:00Z	25.92933	-79.94722	2020-01-24T06:12:00Z	25.92045	-79.95065	0.002770376	0.756203985
sp066-20200123T1630	4801932	11	2020-01-24T08:16:15Z	25.9706	-79.93275	2020-01-24T07:52:30Z	25.961	-79.9365	-0.003988581	0.768346777
sp066-20200123T1630	4801932	12	2020-01-24T09:51:00Z	26.0089	-79.91775	2020-01-24T09:29:00Z	26.0	-79.9215	0.018516515	0.76872893
sp066-20200123T1630	4801932	13	2020-01-24T11:27:00Z	26.047	-79.90342	2020-01-24T11:05:00Z	26.0385	-79.90705	0.010467015	0.732723748
sp066-20200123T1630	4801932	14	2020-01-24T13:04:00Z	26.08208	-79.88865	2020-01-24T12:42:00Z	26.07445	-79.8926	0.029697903	0.667646124
sp066-20200123T1630	4801932	15	2020-01-24T14:45:00Z	26.11435	-79.8724	2020-01-24T14:21:00Z	26.107	-79.8766	0.015160648	0.590750474
sp066-20200123T1630	4801932	16	2020-01-24T16:26:45Z	26.1476	-79.85565	2020-01-24T16:03:30Z	26.14	-79.86	0.024517928	0.629577031
sp066-20200123T1630	4801932	17	2020-01-24T18:23:15Z	26.1847	-79.83382	2020-01-24T17:53:30Z	26.1754	-79.83965	0.059061638	0.598738951
sp066-20200123T1630	4801932	18	2020-01-24T20:47:45Z	26.23285	-79.80523	2020-01-24T20:10:30Z	26.2204	-79.81275	0.053788266	0.652862591
sp066-20200123T1630	4801932	19	2020-01-24T23:27:00Z	26.29133	-79.77342	2020-01-24T22:49:00Z	26.27765	-79.78135	0.052970174	0.696496201
sp066-20200123T1630	4801932	20	2020-01-25T02:13:45Z	26.35355	-79.7395	2020-01-25T01:33:30Z	26.3388	-79.748	0.050504015	0.709804232
sp066-20200123T1630	4801932	21	2020-01-25T05:08:45Z	26.4219	-79.702	2020-01-25T04:25:30Z	26.405	-79.7115	0.071266011	0.752797297
sp066-20200123T1630	4801932	22	2020-01-25T08:23:15Z	26.49815	-79.66012	2020-01-25T07:34:30Z	26.4795	-79.67075	0.070484501	0.741560311
sp066-20200123T1630	4801932	23	2020-01-25T11:58:45Z	26.57495	-79.61967	2020-01-25T11:06:30Z	26.5574	-79.62955	0.023531233	0.652668294
sp066-20200123T1630	4801932	24	2020-01-25T15:53:30Z	26.64115	-79.5803	2020-01-25T14:55:00Z	26.6261	-79.5903	-0.007871963	0.4877699
sp066-20200123T1630	4801932	25	2020-01-25T20:00:00Z	26.70395	-79.54115	2020-01-25T18:59:00Z	26.6887	-79.551	-0.014096957	0.463206495
sp066-20200123T1630	4801932	26	2020-01-26T00:12:30Z	26.76405	-79.50317	2020-01-25T23:11:00Z	26.7501	-79.51255	-0.036677493	0.417513155
sp066-20200123T1630	4801932	27	2020-01-26T04:17:00Z	26.8204	-79.46717	2020-01-26T03:17:00Z	26.8066	-79.47605	-0.047355762	0.404007215
sp066-20200123T1630	4801932	28	2020-01-26T08:15:00Z	26.8815	-79.43242	2020-01-26T07:18:00Z	26.8665	-79.44105	-0.040357443	0.462574999
sp066-20200123T1630	4801932	29	2020-01-26T12:04:45Z	26.94693	-79.40243	2020-01-26T11:10:30Z	26.93105	-79.40955	-0.073618841	0.529695532
sp066-20200123T1630	4801932	30	2020-01-26T15:42:30Z	27.01413	-79.37392	2020-01-26T14:49:00Z	26.99725	-79.38105	-0.071587181	0.554198149
sp066-20200123T1630	4801932	31	2020-01-26T19:04:30Z	27.07758	-79.34798	2020-01-26T18:16:00Z	27.06215	-79.35415	-0.096091425	0.557411087

In total, there are 30 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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