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Dataset Title:	gi_537-20210811T0410
Institution:	OOI Coastal & Global Scale Nodes (CGSN)   (Dataset ID: gi_537-20210811T0410)
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: 54)
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) 6801741	1 option: 6801741
trajectory	= (ANY) gi_537-20210811T0410	1 option: gi_537-20210811T0410
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 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54	54 options
time	= (ANY) 2021-08-11T04:20:52Z 2021-08-11T04:58:13Z 2021-08-11T06:16:37Z 2021-08-11T08:31:19Z 2021-08-11T11:55:31Z 2021-08-11T15:32:28Z 2021-08-11T19:14:13Z 2021-08-11T23:28:14Z 2021-08-12T03:44:27Z 2021-08-12T08:09:21Z 2021-08-12T12:10:16Z 2021-08-12T16:36:44Z 2021-08-12T20:41:05Z 2021-08-13T01:11:15Z 2021-08-13T05:22:17Z 2021-08-13T09:55:14Z 2021-08-13T14:05:45Z 2021-08-13T18:42:27Z 2021-08-13T22:55:02Z 2021-08-14T03:34:46Z 2021-08-14T07:49:18Z 2021-08-14T12:34:23Z 2021-08-14T16:43:06Z 2021-08-14T21:19:02Z 2021-08-15T01:33:57Z 2021-08-15T05:53:21Z 2021-08-15T10:15:26Z 2021-08-15T14:49:02Z 2021-08-15T19:29:51Z 2021-08-16T00:02:32Z 2021-08-16T04:35:32Z 2021-08-16T09:10:39Z 2021-08-16T13:37:42Z 2021-08-16T18:07:10Z 2021-08-16T22:51:35Z 2021-08-17T03:04:39Z 2021-08-17T07:30:31Z 2021-08-17T11:53:06Z 2021-08-17T16:25:25Z 2021-08-18T00:51:43Z 2021-08-18T09:34:24Z 2021-08-18T18:07:23Z 2021-08-19T02:31:05Z 2021-08-19T10:57:55Z 2021-08-19T19:26:11Z 2021-08-20T03:53:16Z 2021-08-20T12:33:33Z 2021-08-20T21:18:01Z 2021-08-21T06:28:24Z 2021-08-21T14:58:15Z 2021-08-21T23:36:44Z 2021-08-22T08:18:59Z 2021-08-22T16:52:03Z 2021-08-23T01:18:48Z	54 options
latitude	= (ANY) 59.78866415205403 59.788853868038096 59.793755445456206 59.796831736276495 59.80124350114664 59.80566000115916 59.80921185093006 59.8140025291139 59.81661241532592 59.81840708831691 59.81847929155204 59.8188271522967 59.819139672644674 59.82248463729309 59.822785427346794 59.82280560259716 59.82364412775194 59.825393357693 59.82554996173023 59.82558350343772 59.82600805176027 59.82618173437566 59.826573772803066 59.82692665414557 59.826976549102106 59.82713370396309 59.82733447852864 59.82828706989818 59.828479909656096 59.8292829870913 59.829623501707445 59.83002203805879 59.83082476031605 59.83120759319069 59.83154354494462 59.834829584967544 59.83622882567716 59.8379286896455 59.83818276964968 59.84153915113458 59.842107155362314 59.848339311338734 59.85106126007933 59.857885498280645 59.858946666821424 59.860110447371056 59.86089208945658 59.86501230694837 59.86781868296716 59.871374840545286 59.87725891712998 59.88268079194922 59.88978932823557 59.89311143385628  degrees_north	54 options
longitude	= (ANY) -39.5005394789458 -39.44936428971184 -39.38603200952943 -39.28978353613512 -39.25112437359463 -39.24609916560566 -39.23654102428034 -39.223503651516886 -39.21665247289033 -39.2084364642472 -39.20717946123221 -39.184874094611864 -39.1707328630433 -39.16523355756521 -39.147772307215625 -39.14109534920655 -39.138089162371486 -39.1366505169609 -39.1353870992802 -39.134015607926145 -39.13399880547218 -39.12614171138163 -39.12398061035821 -39.12309632754818 -39.12165862446601 -39.121266308362834 -39.11898442234765 -39.116293167674336 -39.10510501883525 -39.10170041154308 -39.1013568441207 -39.10056497705745 -39.096163873525164 -39.093977850384626 -39.08962587163994 -39.08044311485287 -39.079192349821874 -39.07881248296276 -39.07723174206196 -39.070329658997366 -39.06483621297715 -39.05086430341865 -39.03404487963206 -39.02107708290321 -39.015696111631236 -39.01153827073639 -39.00947810589903 -39.00568659211475 -38.99368727047126 -38.98597765347397 -38.98467986742593 -38.98380492846844 -38.981717576323184 -38.981195498003686  degrees_east	54 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
6801741	gi_537-20210811T0410	1	2021-08-11T04:20:52Z	59.858946666821424	-39.12309632754818
6801741	gi_537-20210811T0410	2	2021-08-11T04:58:13Z	59.860110447371056	-39.11898442234765
6801741	gi_537-20210811T0410	3	2021-08-11T06:16:37Z	59.86089208945658	-39.12165862446601
6801741	gi_537-20210811T0410	4	2021-08-11T08:31:19Z	59.857885498280645	-39.14109534920655
6801741	gi_537-20210811T0410	5	2021-08-11T11:55:31Z	59.848339311338734	-39.184874094611864
6801741	gi_537-20210811T0410	6	2021-08-11T15:32:28Z	59.842107155362314	-39.21665247289033
6801741	gi_537-20210811T0410	7	2021-08-11T19:14:13Z	59.83622882567716	-39.23654102428034
6801741	gi_537-20210811T0410	8	2021-08-11T23:28:14Z	59.822785427346794	-39.25112437359463
6801741	gi_537-20210811T0410	9	2021-08-12T03:44:27Z	59.82280560259716	-39.20717946123221
6801741	gi_537-20210811T0410	10	2021-08-12T08:09:21Z	59.82692665414557	-39.134015607926145
6801741	gi_537-20210811T0410	11	2021-08-12T12:10:16Z	59.819139672644674	-39.079192349821874
6801741	gi_537-20210811T0410	12	2021-08-12T16:36:44Z	59.82364412775194	-39.015696111631236
6801741	gi_537-20210811T0410	13	2021-08-12T20:41:05Z	59.8379286896455	-38.98380492846844
6801741	gi_537-20210811T0410	14	2021-08-13T01:11:15Z	59.83154354494462	-39.00568659211475
6801741	gi_537-20210811T0410	15	2021-08-13T05:22:17Z	59.83120759319069	-39.02107708290321
6801741	gi_537-20210811T0410	16	2021-08-13T09:55:14Z	59.834829584967544	-39.03404487963206
6801741	gi_537-20210811T0410	17	2021-08-13T14:05:45Z	59.82713370396309	-39.05086430341865
6801741	gi_537-20210811T0410	18	2021-08-13T18:42:27Z	59.826976549102106	-39.06483621297715
6801741	gi_537-20210811T0410	19	2021-08-13T22:55:02Z	59.82733447852864	-39.08044311485287
6801741	gi_537-20210811T0410	20	2021-08-14T03:34:46Z	59.8188271522967	-39.093977850384626
6801741	gi_537-20210811T0410	21	2021-08-14T07:49:18Z	59.82248463729309	-39.10170041154308
6801741	gi_537-20210811T0410	22	2021-08-14T12:34:23Z	59.82600805176027	-39.116293167674336
6801741	gi_537-20210811T0410	23	2021-08-14T16:43:06Z	59.826573772803066	-39.12398061035821
6801741	gi_537-20210811T0410	24	2021-08-14T21:19:02Z	59.83082476031605	-39.121266308362834
6801741	gi_537-20210811T0410	25	2021-08-15T01:33:57Z	59.8292829870913	-39.13399880547218
6801741	gi_537-20210811T0410	26	2021-08-15T05:53:21Z	59.83002203805879	-39.1353870992802
6801741	gi_537-20210811T0410	27	2021-08-15T10:15:26Z	59.829623501707445	-39.1366505169609
6801741	gi_537-20210811T0410	28	2021-08-15T14:49:02Z	59.82554996173023	-39.147772307215625
6801741	gi_537-20210811T0410	29	2021-08-15T19:29:51Z	59.82828706989818	-39.138089162371486
6801741	gi_537-20210811T0410	30	2021-08-16T00:02:32Z	59.84153915113458	-39.10510501883525
6801741	gi_537-20210811T0410	31	2021-08-16T04:35:32Z	59.85106126007933	-39.08962587163994
6801741	gi_537-20210811T0410	32	2021-08-16T09:10:39Z	59.86501230694837	-39.070329658997366
6801741	gi_537-20210811T0410	33	2021-08-16T13:37:42Z	59.871374840545286	-39.07881248296276
6801741	gi_537-20210811T0410	34	2021-08-16T18:07:10Z	59.87725891712998	-39.096163873525164
6801741	gi_537-20210811T0410	35	2021-08-16T22:51:35Z	59.88978932823557	-39.10056497705745
6801741	gi_537-20210811T0410	36	2021-08-17T03:04:39Z	59.89311143385628	-39.12614171138163
6801741	gi_537-20210811T0410	37	2021-08-17T07:30:31Z	59.88268079194922	-39.1707328630433
6801741	gi_537-20210811T0410	38	2021-08-17T11:53:06Z	59.86781868296716	-39.223503651516886
6801741	gi_537-20210811T0410	39	2021-08-17T16:25:25Z	59.83818276964968	-39.24609916560566
6801741	gi_537-20210811T0410	40	2021-08-18T00:51:43Z	59.80921185093006	-39.16523355756521
6801741	gi_537-20210811T0410	41	2021-08-18T09:34:24Z	59.78866415205403	-39.07723174206196
6801741	gi_537-20210811T0410	42	2021-08-18T18:07:23Z	59.788853868038096	-39.01153827073639
6801741	gi_537-20210811T0410	43	2021-08-19T02:31:05Z	59.793755445456206	-38.98467986742593
6801741	gi_537-20210811T0410	44	2021-08-19T10:57:55Z	59.796831736276495	-38.981195498003686
6801741	gi_537-20210811T0410	45	2021-08-19T19:26:11Z	59.80124350114664	-38.981717576323184
6801741	gi_537-20210811T0410	46	2021-08-20T03:53:16Z	59.80566000115916	-38.98597765347397
6801741	gi_537-20210811T0410	47	2021-08-20T12:33:33Z	59.8140025291139	-38.99368727047126
6801741	gi_537-20210811T0410	48	2021-08-20T21:18:01Z	59.825393357693	-39.00947810589903
6801741	gi_537-20210811T0410	49	2021-08-21T06:28:24Z	59.828479909656096	-39.1013568441207
6801741	gi_537-20210811T0410	50	2021-08-21T14:58:15Z	59.81840708831691	-39.2084364642472
6801741	gi_537-20210811T0410	51	2021-08-21T23:36:44Z	59.81661241532592	-39.28978353613512
6801741	gi_537-20210811T0410	52	2021-08-22T08:18:59Z	59.81847929155204	-39.38603200952943
6801741	gi_537-20210811T0410	53	2021-08-22T16:52:03Z	59.82558350343772	-39.44936428971184
6801741	gi_537-20210811T0410	54	2021-08-23T01:18:48Z	59.82618173437566	-39.5005394789458

In total, there are 54 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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