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Dataset Title:  "Deepwater CTD - 94g0846.ctd.nc - 28.42N, -89.66W - 1994-10-24" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0846_ctd)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 692)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    depth ?  =  m   691 options
    temperature ?  =  degree_C   687 options
    salinity ?  =  PSU   677 options
    oxygen ?  =  milliliters per liter   8 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   10 options
    silicate ?  =  micromols per liter   11 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  2 options

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
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.
 


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.

 


Distinct Data ?   (Metadata)    (Refine the data subset and/or download the data)  

depth temperature salinity oxygen nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
7.0 26.383100509643555 34.53340148925781 -99.0 0.009999999776482582 0.0 0.019999999552965164 1.5 -99.0 0.0
8.0 26.379600524902344 34.54399871826172 4.940000057220459 0.009999999776482582 0.0 0.019999999552965164 1.5 -99.0 0.0
9.0 26.32900047302246 34.55569839477539 -99.0 0.009999999776482582 0.0 0.009999999776482582 1.2000000476837158 -99.0 0.0
10.0 26.264299392700195 34.56480026245117 -99.0 0.019999999552965164 0.0 0.019999999552965164 1.0 -99.0 0.0
11.0 26.24839973449707 34.5703010559082 -99.0 0.10000000149011612 1.7000000476837158 0.09000000357627869 1.600000023841858 -99.0 0.0
12.0 26.224899291992188 34.574798583984375 3.4240000247955322 0.03999999910593033 9.0 0.4099999964237213 3.0999999046325684 -99.0 0.0
13.0 26.185800552368164 34.58209991455078 -99.0 0.019999999552965164 11.100000381469727 0.550000011920929 3.5999999046325684 -99.0 0.0
14.0 26.189899444580078 34.626399993896484 3.2260000705718994 0.009999999776482582 22.0 1.2599999904632568 10.0 -99.0 0.0
15.0 26.252500534057617 34.73640060424805 3.5850000381469727 0.0 30.5 1.8600000143051147 23.200000762939453 -99.0 0.0
16.0 26.310400009155273 34.80189895629883 4.011000156402588 0.009999999776482582 29.700000762939453 1.7999999523162842 24.799999237060547 -99.0 0.0
17.0 26.365299224853516 34.86869812011719 4.333000183105469 0.0 27.700000762939453 1.7400000095367432 25.299999237060547 -99.0 0.0
18.0 26.547399520874023 35.07979965209961 0.0
19.0 26.626699447631836 35.15629959106445 0.0
20.0 26.835599899291992 35.392398834228516 0.0
21.0 27.03339958190918 35.696998596191406 0.0
22.0 27.03190040588379 35.85169982910156 0.0
23.0 26.869300842285156 35.998600006103516 0.0
24.0 26.680200576782227 36.03379821777344 0.0
25.0 26.573699951171875 36.07740020751953 0.0
26.0 26.512699127197266 36.10940170288086 0.0
27.0 26.455799102783203 36.11650085449219 0.0
28.0 26.14389991760254 36.11640167236328 0.0
29.0 25.87779998779297 36.13840103149414 0.0
30.0 25.781099319458008 36.14929962158203 0.0
31.0 25.711299896240234 36.15589904785156 0.0
32.0 25.684799194335938 36.165000915527344 0.0
33.0 25.5664005279541 36.18439865112305 0.0
34.0 25.207300186157227 36.2218017578125 0.0
35.0 25.026100158691406 36.259700775146484 0.0
36.0 24.806699752807617 36.295799255371094 0.0
37.0 24.67300033569336 36.297401428222656 0.0
38.0 24.543100357055664 36.304500579833984 0.0
39.0 24.417999267578125 36.312198638916016 0.0
40.0 24.154399871826172 36.31650161743164 0.0
41.0 23.840999603271484 36.30979919433594 0.0
42.0 23.614999771118164 36.3224983215332 0.0
43.0 23.503999710083008 36.324501037597656 0.0
44.0 23.387300491333008 36.326698303222656 0.0
45.0 23.345500946044922 36.3296012878418 0.0
46.0 23.318700790405273 36.3401985168457 0.0
47.0 23.28849983215332 36.35219955444336 0.0
48.0 23.233699798583984 36.367698669433594 0.0
49.0 23.109800338745117 36.37590026855469 0.0
50.0 22.913299560546875 36.38970184326172 0.0
51.0 22.637699127197266 36.37049865722656 0.0
52.0 22.382600784301758 36.35449981689453 0.0
53.0 22.282499313354492 36.35770034790039 0.0
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58.0 21.726999282836914 36.31230163574219 0.0
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62.0 21.22319984436035 36.289798736572266 0.0
63.0 21.158899307250977 36.29410171508789 0.0
64.0 21.112499237060547 36.298301696777344 0.0
65.0 21.089399337768555 36.30569839477539 0.0
66.0 21.076400756835938 36.31480026245117 0.0
67.0 21.029300689697266 36.32680130004883 0.0
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636.0 9.374300003051758 35.11759948730469 0.0
637.0 9.370599746704102 35.11709976196289 0.0
638.0 9.36620044708252 35.11650085449219 0.0
639.0 9.353599548339844 35.1151008605957 0.0
640.0 9.34589958190918 35.114498138427734 0.0
641.0 9.339200019836426 35.11360168457031 0.0
642.0 9.3302001953125 35.11249923706055 0.0
643.0 9.313799858093262 35.110801696777344 0.0
644.0 9.305000305175781 35.109798431396484 0.0
645.0 9.288399696350098 35.10810089111328 0.0
646.0 9.275099754333496 35.10660171508789 0.0
647.0 9.265600204467773 35.10530090332031 0.0
648.0 9.260899543762207 35.104801177978516 0.0
649.0 9.246600151062012 35.10319900512695 0.0
650.0 9.229299545288086 35.10100173950195 0.0
651.0 9.215299606323242 35.09859848022461 0.0
652.0 9.204000473022461 35.096900939941406 0.0
653.0 9.20259952545166 35.09640121459961 0.0
654.0 9.202500343322754 35.09629821777344 0.0
655.0 9.194100379943848 35.095001220703125 0.0
656.0 9.156399726867676 35.09049987792969 0.0
657.0 9.100600242614746 35.08430099487305 0.0
658.0 9.073100090026855 35.08060073852539 0.0
659.0 9.004500389099121 35.073299407958984 0.0
660.0 8.973299980163574 35.06959915161133 0.0
661.0 8.966300010681152 35.06850051879883 0.0
662.0 8.949999809265137 35.066898345947266 0.0
663.0 8.940299987792969 35.06489944458008 0.0
664.0 8.930700302124023 35.06370162963867 0.0
665.0 8.927300453186035 35.06340026855469 0.0
666.0 8.921099662780762 35.06269836425781 0.0
667.0 8.915499687194824 35.061798095703125 0.0
668.0 8.902600288391113 35.06050109863281 0.0
669.0 8.88759994506836 35.058799743652344 0.0
670.0 8.867500305175781 35.056800842285156 0.0
671.0 8.862199783325195 35.055999755859375 0.0
672.0 8.859999656677246 35.055599212646484 0.0
673.0 8.850899696350098 35.05459976196289 0.0
674.0 8.83430004119873 35.0531005859375 0.0
675.0 8.778499603271484 35.048500061035156 0.0
676.0 8.727999687194824 35.04349899291992 0.0
677.0 8.694100379943848 35.039798736572266 0.0
678.0 8.663100242614746 35.036399841308594 0.0
679.0 8.648200035095215 35.03459930419922 0.0
680.0 8.626999855041504 35.03200149536133 0.0
681.0 8.587400436401367 35.027801513671875 0.0
682.0 8.56470012664795 35.02510070800781 0.0
683.0 8.538399696350098 35.022098541259766 0.0
684.0 8.493300437927246 35.01839828491211 0.0
685.0 8.313199996948242 35.007999420166016 0.0
686.0 8.175999641418457 34.99369812011719 0.0
687.0 8.05720043182373 34.98870086669922 0.0
688.0 7.928299903869629 34.98139953613281 0.0
689.0 7.713099956512451 34.96910095214844 0.0
690.0 7.567500114440918 34.957000732421875 1.0
691.0 7.546800136566162 34.95370101928711 1.0
692.0 7.526000022888184 34.95140075683594 0.0
693.0 7.508800029754639 34.949501037597656 0.0
694.0 7.492099761962891 34.94820022583008 0.0
695.0 7.475299835205078 34.94649887084961 0.0
696.0 7.091300010681152 34.92319869995117 0.0
696.0 7.3744001388549805 34.938499450683594 0.0
697.0 6.9527997970581055 34.91669845581055 0.0

In total, there are 692 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.
 


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.
 


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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