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Dataset Title:	sp022-20201113T1549
Institution:	Woods Hole Oceanographic Institution   (Dataset ID: sp022-20201113T1549)
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: 83)
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) 4801951	1 option: 4801951
trajectory	= (ANY) sp022-20201113T1549	1 option: sp022-20201113T1549
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 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84	83 options
time	= (ANY) 2020-11-13T17:09:00Z 2020-11-13T18:16:45Z 2020-11-13T19:37:00Z 2020-11-13T21:01:00Z 2020-11-13T22:30:30Z 2020-11-14T00:02:15Z 2020-11-14T01:37:00Z 2020-11-14T03:15:00Z 2020-11-14T05:01:00Z 2020-11-14T07:22:45Z 2020-11-14T10:03:15Z 2020-11-14T12:57:30Z 2020-11-14T16:06:30Z 2020-11-14T19:32:30Z 2020-11-14T23:30:00Z 2020-11-15T03:40:00Z 2020-11-15T07:59:45Z 2020-11-15T12:04:30Z 2020-11-15T15:51:15Z 2020-11-15T19:26:45Z 2020-11-15T22:57:15Z 2020-11-16T02:09:15Z 2020-11-16T04:52:45Z 2020-11-16T07:06:45Z 2020-11-16T08:59:30Z 2020-11-16T10:29:15Z 2020-11-16T11:33:15Z 2020-11-16T12:22:45Z 2020-11-16T13:10:30Z 2020-11-16T13:58:30Z 2020-11-16T14:44:30Z 2020-11-16T15:36:00Z 2020-11-16T16:36:00Z 2020-11-16T17:42:00Z 2020-11-16T18:57:45Z 2020-11-16T20:16:00Z 2020-11-16T21:38:45Z 2020-11-16T23:09:45Z 2020-11-17T00:35:45Z 2020-11-17T02:17:30Z 2020-11-17T04:14:30Z 2020-11-17T06:22:15Z 2020-11-17T08:37:30Z 2020-11-17T10:56:45Z 2020-11-17T13:23:00Z 2020-11-17T15:51:30Z 2020-11-17T18:27:15Z 2020-11-17T21:13:00Z 2020-11-18T00:15:00Z 2020-11-18T03:26:00Z 2020-11-18T07:01:15Z 2020-11-18T11:24:15Z 2020-11-18T16:21:00Z 2020-11-18T21:24:00Z 2020-11-19T02:17:00Z 2020-11-19T07:20:45Z 2020-11-19T12:30:00Z 2020-11-19T17:45:30Z 2020-11-19T23:07:00Z 2020-11-20T04:34:45Z 2020-11-20T10:06:15Z 2020-11-20T15:48:00Z 2020-11-20T21:39:45Z 2020-11-21T03:37:15Z 2020-11-21T09:30:15Z 2020-11-21T15:24:45Z 2020-11-21T21:19:00Z 2020-11-22T03:07:30Z 2020-11-22T09:01:45Z 2020-11-22T15:00:30Z 2020-11-22T20:55:15Z 2020-11-23T02:48:45Z 2020-11-23T08:41:15Z 2020-11-23T14:38:45Z 2020-11-23T20:31:00Z 2020-11-24T02:23:30Z 2020-11-24T08:12:15Z 2020-11-24T14:03:30Z 2020-11-24T19:58:15Z 2020-11-25T01:53:45Z 2020-11-25T07:34:45Z 2020-11-25T13:10:15Z 2020-11-25T18:41:45Z	83 options
latitude	= (ANY) 25.843 25.878425 25.922425 25.966675 26.012175 26.057949999999998 26.10565 26.157375000000002 26.2141 26.283 26.357775 26.431224999999998 26.5077 26.592525000000002 26.686 26.788075 26.900199999999998 26.9982 27.07185 27.13715 27.195525 27.2432 27.287675 27.330575 27.363699999999998 27.383075 27.391775 27.4003 27.407575 27.412300000000002 27.41665 27.421 27.426425000000002 27.43415 27.444775 27.4571 27.469050000000003 27.480775 27.491950000000003 27.503875 27.516175 27.52845 27.53985 27.549775 27.558725 27.572175 27.58945 27.610525 27.6343 27.66355 27.702275 27.75775 27.83895 27.93665 28.01665 28.088425 28.152250000000002 28.185325 28.186675 28.195625 28.196350000000002 28.197325 28.212725 28.226599999999998 28.234075 28.234725 28.2561 28.258450000000003 28.260975 28.276475 28.279925 28.285600000000002 28.286025 28.289675 28.293975 28.298775 28.302975 28.315450000000002 28.34535 28.372975 28.4013 28.428675 28.455075  degrees_north	83 options
longitude	= (ANY) -80.00059999999999 -79.988575 -79.9747 -79.957825 -79.938075 -79.91720000000001 -79.89455000000001 -79.86975 -79.83997500000001 -79.80142500000001 -79.759575 -79.71775 -79.672725 -79.628 -79.581275 -79.52869999999999 -79.47505000000001 -79.427475 -79.38695 -79.34985 -79.31077499999999 -79.274575 -79.24365 -79.21695 -79.19104999999999 -79.169575 -79.15542500000001 -79.1463 -79.14002500000001 -79.134775 -79.12870000000001 -79.1243 -79.120075 -79.11484999999999 -79.108275 -79.100375 -79.09167500000001 -79.081875 -79.06975 -79.05205000000001 -79.02815 -78.9978 -78.96545 -78.937325 -78.91317500000001 -78.89775 -78.88385 -78.87085 -78.861025 -78.851125 -78.83394999999999 -78.817225 -78.8146 -78.81365 -78.794225 -78.75735 -78.713975 -78.66297499999999 -78.603925 -78.542125 -78.53722499999999 -78.4864 -78.469025 -78.437275 -78.393325 -78.3881 -78.34135 -78.32745 -78.294425 -78.26695 -78.248275 -78.2022 -78.199975 -78.1504 -78.136375 -78.09960000000001 -78.06825 -78.0471 -78.00315 -77.98927499999999 -77.943625 -77.93045 -77.896  degrees_east	83 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
4801951	sp022-20201113T1549	2	2020-11-13T17:09:00Z	25.843	-80.00059999999999
4801951	sp022-20201113T1549	3	2020-11-13T18:16:45Z	25.878425	-79.988575
4801951	sp022-20201113T1549	4	2020-11-13T19:37:00Z	25.922425	-79.9747
4801951	sp022-20201113T1549	5	2020-11-13T21:01:00Z	25.966675	-79.957825
4801951	sp022-20201113T1549	6	2020-11-13T22:30:30Z	26.012175	-79.938075
4801951	sp022-20201113T1549	7	2020-11-14T00:02:15Z	26.057949999999998	-79.91720000000001
4801951	sp022-20201113T1549	8	2020-11-14T01:37:00Z	26.10565	-79.89455000000001
4801951	sp022-20201113T1549	9	2020-11-14T03:15:00Z	26.157375000000002	-79.86975
4801951	sp022-20201113T1549	10	2020-11-14T05:01:00Z	26.2141	-79.83997500000001
4801951	sp022-20201113T1549	11	2020-11-14T07:22:45Z	26.283	-79.80142500000001
4801951	sp022-20201113T1549	12	2020-11-14T10:03:15Z	26.357775	-79.759575
4801951	sp022-20201113T1549	13	2020-11-14T12:57:30Z	26.431224999999998	-79.71775
4801951	sp022-20201113T1549	14	2020-11-14T16:06:30Z	26.5077	-79.672725
4801951	sp022-20201113T1549	15	2020-11-14T19:32:30Z	26.592525000000002	-79.628
4801951	sp022-20201113T1549	16	2020-11-14T23:30:00Z	26.686	-79.581275
4801951	sp022-20201113T1549	17	2020-11-15T03:40:00Z	26.788075	-79.52869999999999
4801951	sp022-20201113T1549	18	2020-11-15T07:59:45Z	26.900199999999998	-79.47505000000001
4801951	sp022-20201113T1549	19	2020-11-15T12:04:30Z	26.9982	-79.427475
4801951	sp022-20201113T1549	20	2020-11-15T15:51:15Z	27.07185	-79.38695
4801951	sp022-20201113T1549	21	2020-11-15T19:26:45Z	27.13715	-79.34985
4801951	sp022-20201113T1549	22	2020-11-15T22:57:15Z	27.195525	-79.31077499999999
4801951	sp022-20201113T1549	23	2020-11-16T02:09:15Z	27.2432	-79.274575
4801951	sp022-20201113T1549	24	2020-11-16T04:52:45Z	27.287675	-79.24365
4801951	sp022-20201113T1549	25	2020-11-16T07:06:45Z	27.330575	-79.21695
4801951	sp022-20201113T1549	26	2020-11-16T08:59:30Z	27.363699999999998	-79.19104999999999
4801951	sp022-20201113T1549	27	2020-11-16T10:29:15Z	27.383075	-79.169575
4801951	sp022-20201113T1549	28	2020-11-16T11:33:15Z	27.391775	-79.15542500000001
4801951	sp022-20201113T1549	29	2020-11-16T12:22:45Z	27.4003	-79.1463
4801951	sp022-20201113T1549	30	2020-11-16T13:10:30Z	27.407575	-79.14002500000001
4801951	sp022-20201113T1549	31	2020-11-16T13:58:30Z	27.412300000000002	-79.134775
4801951	sp022-20201113T1549	32	2020-11-16T14:44:30Z	27.41665	-79.12870000000001
4801951	sp022-20201113T1549	33	2020-11-16T15:36:00Z	27.421	-79.1243
4801951	sp022-20201113T1549	34	2020-11-16T16:36:00Z	27.426425000000002	-79.120075
4801951	sp022-20201113T1549	35	2020-11-16T17:42:00Z	27.43415	-79.11484999999999
4801951	sp022-20201113T1549	36	2020-11-16T18:57:45Z	27.444775	-79.108275
4801951	sp022-20201113T1549	37	2020-11-16T20:16:00Z	27.4571	-79.100375
4801951	sp022-20201113T1549	38	2020-11-16T21:38:45Z	27.469050000000003	-79.09167500000001
4801951	sp022-20201113T1549	39	2020-11-16T23:09:45Z	27.480775	-79.081875
4801951	sp022-20201113T1549	40	2020-11-17T00:35:45Z	27.491950000000003	-79.06975
4801951	sp022-20201113T1549	41	2020-11-17T02:17:30Z	27.503875	-79.05205000000001
4801951	sp022-20201113T1549	42	2020-11-17T04:14:30Z	27.516175	-79.02815
4801951	sp022-20201113T1549	43	2020-11-17T06:22:15Z	27.52845	-78.9978
4801951	sp022-20201113T1549	44	2020-11-17T08:37:30Z	27.53985	-78.96545
4801951	sp022-20201113T1549	45	2020-11-17T10:56:45Z	27.549775	-78.937325
4801951	sp022-20201113T1549	46	2020-11-17T13:23:00Z	27.558725	-78.91317500000001
4801951	sp022-20201113T1549	47	2020-11-17T15:51:30Z	27.572175	-78.89775
4801951	sp022-20201113T1549	48	2020-11-17T18:27:15Z	27.58945	-78.88385
4801951	sp022-20201113T1549	49	2020-11-17T21:13:00Z	27.610525	-78.87085
4801951	sp022-20201113T1549	50	2020-11-18T00:15:00Z	27.6343	-78.861025
4801951	sp022-20201113T1549	51	2020-11-18T03:26:00Z	27.66355	-78.851125
4801951	sp022-20201113T1549	52	2020-11-18T07:01:15Z	27.702275	-78.83394999999999
4801951	sp022-20201113T1549	53	2020-11-18T11:24:15Z	27.75775	-78.817225
4801951	sp022-20201113T1549	54	2020-11-18T16:21:00Z	27.83895	-78.81365
4801951	sp022-20201113T1549	55	2020-11-18T21:24:00Z	27.93665	-78.8146
4801951	sp022-20201113T1549	56	2020-11-19T02:17:00Z	28.01665	-78.794225
4801951	sp022-20201113T1549	57	2020-11-19T07:20:45Z	28.088425	-78.75735
4801951	sp022-20201113T1549	58	2020-11-19T12:30:00Z	28.152250000000002	-78.713975
4801951	sp022-20201113T1549	59	2020-11-19T17:45:30Z	28.195625	-78.66297499999999
4801951	sp022-20201113T1549	60	2020-11-19T23:07:00Z	28.226599999999998	-78.603925
4801951	sp022-20201113T1549	61	2020-11-20T04:34:45Z	28.2561	-78.542125
4801951	sp022-20201113T1549	62	2020-11-20T10:06:15Z	28.279925	-78.469025
4801951	sp022-20201113T1549	63	2020-11-20T15:48:00Z	28.302975	-78.393325
4801951	sp022-20201113T1549	64	2020-11-20T21:39:45Z	28.298775	-78.32745
4801951	sp022-20201113T1549	65	2020-11-21T03:37:15Z	28.293975	-78.26695
4801951	sp022-20201113T1549	66	2020-11-21T09:30:15Z	28.289675	-78.2022
4801951	sp022-20201113T1549	67	2020-11-21T15:24:45Z	28.285600000000002	-78.136375
4801951	sp022-20201113T1549	68	2020-11-21T21:19:00Z	28.276475	-78.06825
4801951	sp022-20201113T1549	69	2020-11-22T03:07:30Z	28.260975	-78.00315
4801951	sp022-20201113T1549	70	2020-11-22T09:01:45Z	28.234075	-77.943625
4801951	sp022-20201113T1549	71	2020-11-22T15:00:30Z	28.197325	-77.896
4801951	sp022-20201113T1549	72	2020-11-22T20:55:15Z	28.185325	-77.93045
4801951	sp022-20201113T1549	73	2020-11-23T02:48:45Z	28.186675	-77.98927499999999
4801951	sp022-20201113T1549	74	2020-11-23T08:41:15Z	28.196350000000002	-78.0471
4801951	sp022-20201113T1549	75	2020-11-23T14:38:45Z	28.212725	-78.09960000000001
4801951	sp022-20201113T1549	76	2020-11-23T20:31:00Z	28.234725	-78.1504
4801951	sp022-20201113T1549	77	2020-11-24T02:23:30Z	28.258450000000003	-78.199975
4801951	sp022-20201113T1549	78	2020-11-24T08:12:15Z	28.286025	-78.248275
4801951	sp022-20201113T1549	79	2020-11-24T14:03:30Z	28.315450000000002	-78.294425
4801951	sp022-20201113T1549	80	2020-11-24T19:58:15Z	28.34535	-78.34135
4801951	sp022-20201113T1549	81	2020-11-25T01:53:45Z	28.372975	-78.3881
4801951	sp022-20201113T1549	82	2020-11-25T07:34:45Z	28.4013	-78.437275
4801951	sp022-20201113T1549	83	2020-11-25T13:10:15Z	28.428675	-78.4864
4801951	sp022-20201113T1549	84	2020-11-25T18:41:45Z	28.455075	-78.53722499999999

In total, there are 83 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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