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Dataset Title:	Glider - gi_484-20150817T1025
Institution:	Ocean Observatories Initiative   (Dataset ID: gi_484_20150817t1025)
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: 48)
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) gi_484-20150817T102500Z	1 option: gi_484-20150817T102500Z
wmo_id	= (ANY) 6801727	1 option: 6801727
time	= (ANY) 2015-08-17T11:30:04Z 2015-08-17T11:33:06Z 2015-08-17T11:54:06Z 2015-08-17T12:34:40Z 2015-08-17T13:12:38Z 2015-08-17T13:50:27Z 2015-08-17T14:55:13Z 2015-08-17T16:09:04Z 2015-08-17T18:53:59Z 2015-08-17T22:41:48Z 2015-08-18T02:33:52Z 2015-08-18T06:47:52Z 2015-08-18T11:00:27Z 2015-08-18T15:12:53Z 2015-08-18T19:31:17Z 2015-08-18T23:42:46Z 2015-08-19T04:14:33Z 2015-08-19T12:10:20Z 2015-08-19T20:27:37Z 2015-08-20T05:55:31Z 2015-08-20T16:01:40Z 2015-08-21T02:48:13Z 2015-08-21T13:19:00Z 2015-08-21T23:26:24Z 2015-08-22T02:40:06Z 2015-08-22T12:59:13Z 2015-08-22T22:49:05Z 2015-08-23T01:33:56Z 2015-08-23T04:11:04Z 2015-08-23T06:40:43Z 2015-08-23T09:15:34Z 2015-08-23T10:24:09Z 2015-08-23T13:11:00Z 2015-08-23T14:04:56Z 2015-08-23T16:50:03Z 2015-08-23T22:32:11Z 2015-08-24T03:20:15Z 2015-08-24T07:05:50Z 2015-08-24T16:26:14Z 2015-08-25T01:14:32Z 2015-08-25T03:46:46Z 2015-08-25T12:48:16Z 2015-08-25T21:53:19Z 2015-08-26T07:16:55Z 2015-08-26T16:43:39Z 2015-08-26T21:56:01Z 2015-08-26T22:53:38Z 2015-08-26T23:37:03Z	48 options
latitude	= (ANY) 59.82561660208935 59.839060004431836 59.84441332495867 59.8446395154905 59.84509948778015 59.8454172036543 59.8459609463921 59.84640614785446 59.8468340350271 59.847074690846874 59.84733417065912 59.848389988057924 59.84880863823612 59.84880983257457 59.84938943331595 59.850105725359015 59.85067619981514 59.85074494653523 59.85283212092005 59.85328192252107 59.853811380861735 59.85392564735649 59.85432034050296 59.85451760150416 59.85518808991195 59.855342152470215 59.8555102931633 59.85734412131827 59.85889180614813 59.863673663152156 59.86421776637218 59.877045498694635 59.87921983099408 59.88744454628726 59.89171208457622 59.89229011496191 59.89243037256059 59.89270709267833 59.89363406380889 59.903445615878496 59.92063214482945 59.920688452808825 59.932988628619164 59.93486196704702 59.93757968144954 59.939645375131285 59.94049701174709 59.94600527748892  degrees_north	48 options
longitude	= (ANY) -39.328965913857516 -39.31885922571186 -39.30359775963224 -39.29562842980359 -39.285245050951474 -39.27181752404181 -39.256880929762616 -39.249527500952844 -39.246992167106725 -39.241088052932774 -39.232584242890645 -39.22951256372985 -39.223927932353604 -39.21333505934229 -39.21031492524814 -39.20736016433125 -39.20668168023897 -39.19475500650511 -39.19429249455463 -39.19239194680696 -39.1903314421668 -39.17961154444804 -39.15813589864891 -39.12780199402967 -39.12615044026942 -39.12469633580786 -39.123355775646345 -39.12019513128556 -39.11266121809282 -39.111446139171264 -39.10909910631455 -39.10587341592073 -39.09849991292108 -39.09475359361117 -39.0919893935351 -39.081903809369344 -39.08007585715511 -39.07921622602686 -39.07921394428892 -39.07801197691696 -39.07650547484591 -39.07631980238861 -39.07252473518726 -39.0657175160228 -39.059466883574075 -39.05566955487203 -39.054654197646954 -39.05232237934008  degrees_east	48 options
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	48 options
time_uv	= (ANY) NaN	1 option: NaN
lat_uv	= (ANY)  degrees_north	1 option:
lon_uv	= (ANY)  degrees_east	1 option:
u	= (ANY)  m s-1	1 option:
v	= (ANY)  m s-1	1 option:

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	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
gi_484-20150817T102500Z	6801727	2015-08-17T11:30:04Z	59.8555102931633	-39.12469633580786	1
gi_484-20150817T102500Z	6801727	2015-08-17T11:33:06Z	59.85518808991195	-39.123355775646345	2
gi_484-20150817T102500Z	6801727	2015-08-17T11:54:06Z	59.85328192252107	-39.11266121809282	3
gi_484-20150817T102500Z	6801727	2015-08-17T12:34:40Z	59.84880983257457	-39.09475359361117	4
gi_484-20150817T102500Z	6801727	2015-08-17T13:12:38Z	59.84441332495867	-39.08007585715511	5
gi_484-20150817T102500Z	6801727	2015-08-17T13:50:27Z	59.84509948778015	-39.07252473518726	6
gi_484-20150817T102500Z	6801727	2015-08-17T14:55:13Z	59.847074690846874	-39.0657175160228	7
gi_484-20150817T102500Z	6801727	2015-08-17T16:09:04Z	59.85451760150416	-39.05566955487203	8
gi_484-20150817T102500Z	6801727	2015-08-17T18:53:59Z	59.87921983099408	-39.059466883574075	9
gi_484-20150817T102500Z	6801727	2015-08-17T22:41:48Z	59.89270709267833	-39.07801197691696	10
gi_484-20150817T102500Z	6801727	2015-08-18T02:33:52Z	59.903445615878496	-39.07921394428892	11
gi_484-20150817T102500Z	6801727	2015-08-18T06:47:52Z	59.920688452808825	-39.07631980238861	12
gi_484-20150817T102500Z	6801727	2015-08-18T11:00:27Z	59.932988628619164	-39.081903809369344	13
gi_484-20150817T102500Z	6801727	2015-08-18T15:12:53Z	59.94049701174709	-39.07650547484591	14
gi_484-20150817T102500Z	6801727	2015-08-18T19:31:17Z	59.94600527748892	-39.07921622602686	15
gi_484-20150817T102500Z	6801727	2015-08-18T23:42:46Z	59.939645375131285	-39.09849991292108	16
gi_484-20150817T102500Z	6801727	2015-08-19T04:14:33Z	59.93757968144954	-39.0919893935351	17
gi_484-20150817T102500Z	6801727	2015-08-19T12:10:20Z	59.93486196704702	-39.10587341592073	18
gi_484-20150817T102500Z	6801727	2015-08-19T20:27:37Z	59.92063214482945	-39.12019513128556	19
gi_484-20150817T102500Z	6801727	2015-08-20T05:55:31Z	59.86421776637218	-39.10909910631455	20
gi_484-20150817T102500Z	6801727	2015-08-20T16:01:40Z	59.8459609463921	-39.111446139171264	21
gi_484-20150817T102500Z	6801727	2015-08-21T02:48:13Z	59.85067619981514	-39.12615044026942	22
gi_484-20150817T102500Z	6801727	2015-08-21T13:19:00Z	59.855342152470215	-39.20736016433125	23
gi_484-20150817T102500Z	6801727	2015-08-21T23:26:24Z	59.848389988057924	-39.29562842980359	24
gi_484-20150817T102500Z	6801727	2015-08-22T02:40:06Z	59.84640614785446	-39.256880929762616	25
gi_484-20150817T102500Z	6801727	2015-08-22T12:59:13Z	59.853811380861735	-39.15813589864891	26
gi_484-20150817T102500Z	6801727	2015-08-22T22:49:05Z	59.85283212092005	-39.17961154444804	27
gi_484-20150817T102500Z	6801727	2015-08-23T01:33:56Z	59.85432034050296	-39.1903314421668	28
gi_484-20150817T102500Z	6801727	2015-08-23T04:11:04Z	59.863673663152156	-39.19239194680696	29
gi_484-20150817T102500Z	6801727	2015-08-23T06:40:43Z	59.877045498694635	-39.19475500650511	30
gi_484-20150817T102500Z	6801727	2015-08-23T09:15:34Z	59.88744454628726	-39.20668168023897	31
gi_484-20150817T102500Z	6801727	2015-08-23T10:24:09Z	59.89243037256059	-39.21333505934229	32
gi_484-20150817T102500Z	6801727	2015-08-23T13:11:00Z	59.89229011496191	-39.223927932353604	33
gi_484-20150817T102500Z	6801727	2015-08-23T14:04:56Z	59.89363406380889	-39.232584242890645	34
gi_484-20150817T102500Z	6801727	2015-08-23T16:50:03Z	59.89171208457622	-39.249527500952844	35
gi_484-20150817T102500Z	6801727	2015-08-23T22:32:11Z	59.85392564735649	-39.246992167106725	36
gi_484-20150817T102500Z	6801727	2015-08-24T03:20:15Z	59.850105725359015	-39.19429249455463	37
gi_484-20150817T102500Z	6801727	2015-08-24T07:05:50Z	59.85734412131827	-39.21031492524814	38
gi_484-20150817T102500Z	6801727	2015-08-24T16:26:14Z	59.85074494653523	-39.285245050951474	39
gi_484-20150817T102500Z	6801727	2015-08-25T01:14:32Z	59.84938943331595	-39.27181752404181	40
gi_484-20150817T102500Z	6801727	2015-08-25T03:46:46Z	59.8446395154905	-39.241088052932774	41
gi_484-20150817T102500Z	6801727	2015-08-25T12:48:16Z	59.8468340350271	-39.12780199402967	42
gi_484-20150817T102500Z	6801727	2015-08-25T21:53:19Z	59.82561660208935	-39.054654197646954	43
gi_484-20150817T102500Z	6801727	2015-08-26T07:16:55Z	59.839060004431836	-39.05232237934008	44
gi_484-20150817T102500Z	6801727	2015-08-26T16:43:39Z	59.85889180614813	-39.22951256372985	45
gi_484-20150817T102500Z	6801727	2015-08-26T21:56:01Z	59.84880863823612	-39.30359775963224	46
gi_484-20150817T102500Z	6801727	2015-08-26T22:53:38Z	59.84733417065912	-39.31885922571186	47
gi_484-20150817T102500Z	6801727	2015-08-26T23:37:03Z	59.8454172036543	-39.328965913857516	48

In total, there are 48 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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