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Dataset Title:	"Profile - R1.x134.073.0014 - GLAD_small_boat_CTD_046 - 27.78N, 89.17W - 2012- 07-30"
Institution:	University of Delaware   (Dataset ID: R1_x134_073_0014_GLAD_small_boat_CTD_046)
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: 90)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

time	= (ANY) 2012-07-30T19:52:26Z 2012-07-30T20:07:34Z 2012-07-30T20:07:35Z 2012-07-30T20:07:36Z 2012-07-30T20:07:37Z 2012-07-30T20:07:38Z 2012-07-30T20:07:39Z 2012-07-30T20:07:40Z 2012-07-30T20:07:41Z 2012-07-30T20:07:42Z 2012-07-30T20:07:43Z 2012-07-30T20:07:44Z 2012-07-30T20:07:45Z 2012-07-30T20:07:46Z 2012-07-30T20:07:47Z 2012-07-30T20:07:48Z 2012-07-30T20:07:49Z 2012-07-30T20:07:50Z 2012-07-30T20:07:51Z 2012-07-30T20:07:52Z 2012-07-30T20:07:53Z 2012-07-30T20:07:54Z 2012-07-30T20:07:55Z 2012-07-30T20:07:56Z 2012-07-30T20:07:57Z 2012-07-30T20:07:58Z 2012-07-30T20:07:59Z 2012-07-30T20:08:00Z 2012-07-30T20:08:01Z 2012-07-30T20:08:02Z 2012-07-30T20:08:03Z 2012-07-30T20:08:04Z 2012-07-30T20:08:05Z 2012-07-30T20:08:06Z 2012-07-30T20:08:07Z 2012-07-30T20:08:08Z 2012-07-30T20:08:09Z 2012-07-30T20:08:10Z 2012-07-30T20:08:11Z 2012-07-30T20:08:12Z 2012-07-30T20:08:13Z 2012-07-30T20:08:14Z 2012-07-30T20:08:15Z 2012-07-30T20:08:16Z 2012-07-30T20:08:17Z 2012-07-30T20:08:18Z 2012-07-30T20:08:19Z 2012-07-30T20:08:20Z 2012-07-30T20:08:21Z 2012-07-30T20:08:22Z 2012-07-30T20:08:23Z 2012-07-30T20:08:24Z 2012-07-30T20:08:25Z 2012-07-30T20:08:26Z 2012-07-30T20:08:27Z 2012-07-30T20:08:28Z 2012-07-30T20:08:29Z 2012-07-30T20:08:30Z 2012-07-30T20:08:31Z 2012-07-30T20:08:32Z 2012-07-30T20:08:33Z 2012-07-30T20:08:34Z 2012-07-30T20:08:35Z 2012-07-30T20:08:36Z 2012-07-30T20:08:37Z 2012-07-30T20:08:38Z 2012-07-30T20:08:39Z 2012-07-30T20:08:40Z 2012-07-30T20:08:41Z 2012-07-30T20:08:42Z 2012-07-30T20:08:43Z 2012-07-30T20:08:44Z 2012-07-30T20:08:45Z 2012-07-30T20:08:46Z 2012-07-30T20:08:47Z 2012-07-30T20:08:48Z 2012-07-30T20:08:49Z 2012-07-30T20:08:50Z 2012-07-30T20:08:51Z 2012-07-30T20:08:52Z 2012-07-30T20:08:53Z 2012-07-30T20:08:54Z 2012-07-30T20:08:55Z 2012-07-30T20:08:56Z 2012-07-30T20:08:57Z 2012-07-30T20:08:58Z 2012-07-30T20:08:59Z 2012-07-30T20:09:00Z 2012-07-30T20:09:01Z 2012-07-30T20:09:02Z	90 options
depth	= (ANY) 0.27125693 0.31970022 0.71731054 1.34258755 2.02927061 2.06138385 2.1539195 2.94520004 3.40350122 3.72296318 3.7856328 4.71824446 5.11210057 5.61643257 5.7604477 6.02250618 6.45941678 7.20024821 7.40154382 7.51944815 8.24721569 8.88915766 9.00482611 9.04232714 9.90409518 10.48127773 10.5104988 10.74020783 11.36380619 11.86927867 12.12197732 12.16562268 12.66118691 13.31096133 13.73869678 13.90030351 14.33823956 14.72767426 15.0908353 15.45591766 15.6061668 15.79385574 16.24200294 16.47418002 16.90867083 17.21340932 17.84980883 18.04615847 18.57792667 19.16943242 19.62237343 19.64717996 20.34048788 20.70328587 21.08055938 21.19939502 21.27500702 21.31062618 21.39563145 21.56814333 21.9680614 22.47333866 22.90377111 23.18126396 23.49571606 23.8893258 24.48750083 24.5552542 24.56414041 24.82677993 25.4084506 25.71350262 25.98371231 26.2004771 26.6246117 27.07581625 27.24320239 27.65468891 27.69273897 27.69324534 27.69913741 27.74345609 27.80674053 27.81914153 27.83201921 27.8324251 27.90151598 27.93788223 27.95258523 28.26683072  m	90 options
temperature	= (ANY) 28.80418126 28.82785295 28.85656301 28.86377399 28.87351075 28.87884705 28.87946301 28.88395404 28.8893581 28.89004133 28.89189503 28.89312711 28.91225436 28.92292576 28.94495555 28.96191821 29.06496651 29.11628381 29.20333456 29.2332322 29.28150576 29.34172389 29.52599163 29.52873111 29.60416566 29.6056832 29.63496688 29.65348403 29.65724886 29.65740126 29.65978893 29.66012761 29.66022357 29.66081627 29.66198474 29.66210328 29.66342982 29.66498783 29.66555797 29.68962016 29.78769976 29.79545515 29.91922186 29.96683238 29.98410711 29.98668444 29.99355578 30.0079799 30.02034929 30.02166962 30.02360198 30.02394766 30.02857758 30.03070278 30.03516868 30.04329629 30.05022289 30.05051198 30.05166269 30.05479178 30.05629402 30.05689491 30.0574448 30.05793232 30.06054008 30.06162288 30.06251861 30.06285877 30.06376585 30.06432145 30.06488271 30.06530225 30.06671394 30.06745664 30.10526893 30.12807276 30.14999139 30.18924595 30.24044551 30.30758395 30.37993267 30.4085824 30.46860892 30.47945833 30.52435659 30.56114792 30.57646175 30.62413644 30.63325343 30.66509615  deg C	90 options
salinity	= (ANY) 35.30389215 36.06322456 36.07305717 36.09897075 36.09969962 36.10073939 36.10241107 36.10270708 36.1040429 36.106756 36.10788604 36.1080205 36.11067365 36.11514145 36.11534631 36.11615058 36.11665407 36.11698265 36.11878168 36.11911864 36.12202065 36.12447312 36.12489649 36.12521052 36.12591201 36.1282279 36.13459675 36.1351035 36.13544462 36.14209979 36.14272294 36.14338159 36.15677835 36.16356549 36.16453835 36.16474874 36.16575699 36.16638249 36.16944624 36.17239856 36.17279264 36.17334835 36.17906834 36.18025468 36.18099808 36.18408741 36.18500339 36.19269257 36.19303505 36.20636763 36.22476237 36.22982665 36.23043245 36.2304723 36.23295102 36.2354061 36.2400687 36.24077601 36.24094225 36.24143831 36.24752311 36.24761289 36.24901249 36.25056356 36.2540206 36.25518859 36.25566814 36.26003517 36.26329944 36.26429546 36.2649303 36.26551258 36.2733891 36.2734595 36.27404483 36.27447381 36.27659746 36.27675458 36.27717141 36.27721458 36.27799066 36.27874504 36.27943338 36.28328207 36.2838962 36.28828637 36.28872806 36.29364795 36.29868049 36.32252652  PSU	90 options

View:      Map of All Related 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 All Related Data   (Refine the map and/or download the image)

To view the map, check View : Map of All 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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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)  

time	depth	temperature	salinity
UTC	m	deg C	PSU
2012-07-30T19:52:26Z	0.31970022	30.63325343	36.1040429
2012-07-30T20:07:34Z	2.1539195	30.52435659	35.30389215
2012-07-30T20:07:35Z	3.72296318	30.47945833	36.06322456
2012-07-30T20:07:36Z	5.7604477	30.18924595	36.07305717
2012-07-30T20:07:37Z	7.51944815	30.06376585	36.1080205
2012-07-30T20:07:38Z	9.00482611	30.06251861	36.11911864
2012-07-30T20:07:39Z	10.48127773	30.05629402	36.12591201
2012-07-30T20:07:40Z	12.12197732	30.06488271	36.14338159
2012-07-30T20:07:41Z	13.73869678	30.05022289	36.15677835
2012-07-30T20:07:42Z	15.0908353	30.03070278	36.16575699
2012-07-30T20:07:43Z	15.79385574	30.02360198	36.17279264
2012-07-30T20:07:44Z	16.47418002	30.02034929	36.16474874
2012-07-30T20:07:45Z	18.04615847	29.98410711	36.18025468
2012-07-30T20:07:46Z	19.64717996	29.78769976	36.18500339
2012-07-30T20:07:47Z	21.08055938	29.66081627	36.23043245
2012-07-30T20:07:48Z	21.27500702	29.66210328	36.24143831
2012-07-30T20:07:49Z	21.31062618	29.66342982	36.24094225
2012-07-30T20:07:50Z	21.39563145	29.66198474	36.24077601
2012-07-30T20:07:51Z	21.56814333	29.66555797	36.2400687
2012-07-30T20:07:52Z	22.90377111	29.65740126	36.25518859
2012-07-30T20:07:53Z	24.5552542	29.60416566	36.22982665
2012-07-30T20:07:54Z	26.2004771	29.2332322	36.22476237
2012-07-30T20:07:55Z	27.81914153	28.92292576	36.24901249
2012-07-30T20:07:56Z	28.26683072	28.80418126	36.27404483
2012-07-30T20:07:57Z	27.90151598	28.82785295	36.28872806
2012-07-30T20:07:58Z	27.93788223	28.87351075	36.26329944
2012-07-30T20:07:59Z	27.8324251	28.86377399	36.27659746
2012-07-30T20:08:00Z	27.74345609	28.89004133	36.26551258
2012-07-30T20:08:01Z	27.95258523	28.85656301	36.27721458
2012-07-30T20:08:02Z	27.80674053	28.87946301	36.2734595
2012-07-30T20:08:03Z	27.69273897	28.88395404	36.27799066
2012-07-30T20:08:04Z	27.69913741	28.89312711	36.27874504
2012-07-30T20:08:05Z	27.83201921	28.87884705	36.27447381
2012-07-30T20:08:06Z	27.69324534	28.8893581	36.28328207
2012-07-30T20:08:07Z	27.65468891	28.89189503	36.27943338
2012-07-30T20:08:08Z	27.24320239	28.91225436	36.2838962
2012-07-30T20:08:09Z	27.07581625	28.94495555	36.27717141
2012-07-30T20:08:10Z	26.6246117	28.96191821	36.28828637
2012-07-30T20:08:11Z	25.98371231	29.06496651	36.26429546
2012-07-30T20:08:12Z	25.71350262	29.11628381	36.32252652
2012-07-30T20:08:13Z	25.4084506	29.20333456	36.2649303
2012-07-30T20:08:14Z	24.82677993	29.28150576	36.26003517
2012-07-30T20:08:15Z	24.56414041	29.34172389	36.29868049
2012-07-30T20:08:16Z	24.48750083	29.52599163	36.20636763
2012-07-30T20:08:17Z	23.8893258	29.52873111	36.29364795
2012-07-30T20:08:18Z	23.49571606	29.6056832	36.2733891
2012-07-30T20:08:19Z	23.18126396	29.63496688	36.27675458
2012-07-30T20:08:20Z	22.47333866	29.65348403	36.25566814
2012-07-30T20:08:21Z	21.9680614	29.65724886	36.2540206
2012-07-30T20:08:22Z	21.19939502	29.66012761	36.24752311
2012-07-30T20:08:23Z	20.70328587	29.66022357	36.2354061
2012-07-30T20:08:24Z	20.34048788	29.65978893	36.23295102
2012-07-30T20:08:25Z	19.62237343	29.66498783	36.2304723
2012-07-30T20:08:26Z	19.16943242	29.68962016	36.24761289
2012-07-30T20:08:27Z	18.57792667	29.79545515	36.25056356
2012-07-30T20:08:28Z	17.84980883	29.91922186	36.19303505
2012-07-30T20:08:29Z	17.21340932	29.96683238	36.19269257
2012-07-30T20:08:30Z	16.90867083	29.98668444	36.18408741
2012-07-30T20:08:31Z	16.24200294	29.99355578	36.18099808
2012-07-30T20:08:32Z	15.6061668	30.0079799	36.17906834
2012-07-30T20:08:33Z	15.45591766	30.02166962	36.17334835
2012-07-30T20:08:34Z	14.72767426	30.02394766	36.16638249
2012-07-30T20:08:35Z	14.33823956	30.02857758	36.17239856
2012-07-30T20:08:36Z	13.90030351	30.03516868	36.16356549
2012-07-30T20:08:37Z	13.31096133	30.04329629	36.16944624
2012-07-30T20:08:38Z	12.66118691	30.05051198	36.16453835
2012-07-30T20:08:39Z	12.16562268	30.06530225	36.14209979
2012-07-30T20:08:40Z	11.86927867	30.06671394	36.14272294
2012-07-30T20:08:41Z	11.36380619	30.06285877	36.1351035
2012-07-30T20:08:42Z	10.74020783	30.06054008	36.13544462
2012-07-30T20:08:43Z	10.5104988	30.0574448	36.13459675
2012-07-30T20:08:44Z	9.90409518	30.05689491	36.12521052
2012-07-30T20:08:45Z	9.04232714	30.05166269	36.12489649
2012-07-30T20:08:46Z	8.88915766	30.05479178	36.12447312
2012-07-30T20:08:47Z	8.24721569	30.05793232	36.12202065
2012-07-30T20:08:48Z	7.40154382	30.06432145	36.11878168
2012-07-30T20:08:49Z	7.20024821	30.06162288	36.11665407
2012-07-30T20:08:50Z	6.45941678	30.06745664	36.11534631
2012-07-30T20:08:51Z	6.02250618	30.10526893	36.10270708
2012-07-30T20:08:52Z	5.61643257	30.12807276	36.10073939
2012-07-30T20:08:53Z	5.11210057	30.14999139	36.11514145
2012-07-30T20:08:54Z	4.71824446	30.24044551	36.11067365
2012-07-30T20:08:55Z	3.7856328	30.30758395	36.09969962
2012-07-30T20:08:56Z	3.40350122	30.37993267	36.11698265
2012-07-30T20:08:57Z	2.94520004	30.4085824	36.10241107
2012-07-30T20:08:58Z	2.06138385	30.46860892	36.09897075
2012-07-30T20:08:59Z	2.02927061	30.56114792	36.106756
2012-07-30T20:09:00Z	1.34258755	30.57646175	36.11615058
2012-07-30T20:09:01Z	0.71731054	30.62413644	36.1282279
2012-07-30T20:09:02Z	0.27125693	30.66509615	36.10788604

In total, there are 90 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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