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Dataset Title:  "Deepwater CTD - 94g0843.ctd.nc - 27.94N, -89.82W - 1994-10-24" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0843_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: 707)
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   707 options
    temperature ?  =  degree_C   703 options
    salinity ?  =  PSU   672 options
    oxygen ?  =  milliliters per liter   10 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   9 options
    silicate ?  =  micromols per liter   9 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  1 option: 0.0

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
1.0 27.221900939941406 35.992401123046875 4.947000026702881 0.019999999552965164 0.10000000149011612 0.10000000149011612 2.200000047683716 -99.0 0.0
2.0 27.15959930419922 35.9818000793457 4.980000019073486 0.009999999776482582 0.0 0.07000000029802322 1.600000023841858 -99.0 0.0
3.0 27.149499893188477 35.98189926147461 3.2699999809265137 0.019999999552965164 9.5 0.6000000238418579 6.099999904632568 -99.0 0.0
4.0 27.159299850463867 35.983001708984375 3.0429999828338623 0.009999999776482582 17.299999237060547 1.0700000524520874 7.900000095367432 -99.0 0.0
5.0 27.090900421142578 35.982398986816406 3.242000102996826 0.019999999552965164 17.200000762939453 1.0800000429153442 8.699999809265137 -99.0 0.0
6.0 27.056299209594727 35.988800048828125 2.9700000286102295 0.009999999776482582 22.0 1.4199999570846558 11.399999618530273 -99.0 0.0
7.0 27.046199798583984 35.99879837036133 2.984999895095825 0.019999999552965164 22.0 1.4299999475479126 11.399999618530273 -99.0 0.0
8.0 27.059499740600586 35.9911994934082 2.9030001163482666 0.019999999552965164 25.899999618530273 1.7200000286102295 15.600000381469727 -99.0 0.0
9.0 27.036800384521484 36.002201080322266 2.8910000324249268 0.029999999329447746 26.100000381469727 1.7200000286102295 15.5 -99.0 0.0
10.0 27.02549934387207 36.00960159301758 0.0
11.0 27.01140022277832 36.01279830932617 0.0
12.0 26.986799240112305 36.012901306152344 0.0
13.0 26.948699951171875 36.007301330566406 0.0
14.0 26.93320083618164 36.005699157714844 0.0
15.0 26.923599243164062 36.00389862060547 0.0
16.0 26.905799865722656 36.00130081176758 0.0
17.0 26.893699645996094 36.000701904296875 0.0
18.0 26.887300491333008 36.00320053100586 0.0
19.0 26.888599395751953 36.011199951171875 0.0
20.0 26.89539909362793 36.01940155029297 0.0
21.0 26.912700653076172 36.035400390625 0.0
22.0 26.933700561523438 36.0536994934082 0.0
23.0 26.950199127197266 36.06610107421875 0.0
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26.0 26.975299835205078 36.087799072265625 0.0
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631.0 7.28380012512207 34.91389846801758 0.0
632.0 7.279900074005127 34.91379928588867 0.0
633.0 7.269800186157227 34.913299560546875 0.0
634.0 7.26609992980957 34.912899017333984 0.0
635.0 7.2581000328063965 34.91239929199219 0.0
636.0 7.242199897766113 34.911800384521484 0.0
637.0 7.2129998207092285 34.9109001159668 0.0
638.0 7.195000171661377 34.9098014831543 0.0
639.0 7.188000202178955 34.90909957885742 0.0
640.0 7.175300121307373 34.90850067138672 0.0
641.0 7.160099983215332 34.90800094604492 0.0
642.0 7.153299808502197 34.90729904174805 0.0
643.0 7.143099784851074 34.90679931640625 0.0
644.0 7.125699996948242 34.90629959106445 0.0
645.0 7.116099834442139 34.90570068359375 0.0
646.0 7.097899913787842 34.904998779296875 0.0
647.0 7.081200122833252 34.90409851074219 0.0
648.0 7.069799900054932 34.903499603271484 0.0
649.0 7.045899868011475 34.90290069580078 0.0
650.0 7.0447001457214355 34.9025993347168 0.0
651.0 7.040900230407715 34.902000427246094 0.0
652.0 7.038000106811523 34.90169906616211 0.0
653.0 7.024700164794922 34.9015007019043 0.0
654.0 6.999899864196777 34.900901794433594 0.0
655.0 6.967299938201904 34.900001525878906 0.0
656.0 6.957200050354004 34.89939880371094 0.0
657.0 6.951200008392334 34.89899826049805 0.0
658.0 6.928299903869629 34.89830017089844 0.0
659.0 6.919000148773193 34.897701263427734 0.0
660.0 6.91379976272583 34.89739990234375 0.0
661.0 6.885499954223633 34.89699935913086 0.0
662.0 6.864299774169922 34.89649963378906 0.0
663.0 6.848800182342529 34.89619827270508 0.0
664.0 6.837299823760986 34.895301818847656 0.0
665.0 6.80649995803833 34.89440155029297 0.0
666.0 6.77839994430542 34.8942985534668 0.0
667.0 6.760799884796143 34.89390182495117 0.0
668.0 6.7332000732421875 34.89339828491211 0.0
669.0 6.706999778747559 34.8927001953125 0.0
670.0 6.65500020980835 34.8922004699707 0.0
671.0 6.614500045776367 34.89229965209961 0.0
672.0 6.603600025177002 34.89179992675781 0.0
673.0 6.626999855041504 34.89059829711914 0.0
674.0 6.591300010681152 34.89099884033203 0.0
675.0 6.587100028991699 34.890499114990234 0.0
676.0 6.58459997177124 34.89030075073242 0.0
677.0 6.583000183105469 34.88970184326172 0.0
678.0 6.5817999839782715 34.88970184326172 0.0
679.0 6.578700065612793 34.88959884643555 0.0
680.0 6.569799900054932 34.88949966430664 0.0
681.0 6.562300205230713 34.88970184326172 0.0
682.0 6.564000129699707 34.88909912109375 0.0
683.0 6.559100151062012 34.88909912109375 0.0
684.0 6.55810022354126 34.889198303222656 0.0
685.0 6.557300090789795 34.88859939575195 0.0
686.0 6.556600093841553 34.88869857788086 0.0
687.0 6.554500102996826 34.88840103149414 0.0
688.0 6.552499771118164 34.88819885253906 0.0
689.0 6.553199768066406 34.888099670410156 0.0
690.0 6.547599792480469 34.888301849365234 0.0
691.0 6.543099880218506 34.88819885253906 0.0
692.0 6.545899868011475 34.88800048828125 0.0
693.0 6.552599906921387 34.88800048828125 0.0
694.0 6.5518999099731445 34.888099670410156 0.0
695.0 6.546000003814697 34.888099670410156 0.0
696.0 6.542600154876709 34.88819885253906 0.0
697.0 6.543600082397461 34.888099670410156 0.0
698.0 6.540900230407715 34.88819885253906 0.0
699.0 6.536099910736084 34.888099670410156 0.0
700.0 6.535999774932861 34.88800048828125 0.0
701.0 6.537899971008301 34.888099670410156 0.0
702.0 6.53380012512207 34.888099670410156 0.0
703.0 6.534299850463867 34.887901306152344 0.0
704.0 6.532700061798096 34.888099670410156 0.0
705.0 6.534599781036377 34.88800048828125 0.0
706.0 6.53000020980835 34.88819885253906 0.0
707.0 6.528200149536133 34.88800048828125 0.0

In total, there are 707 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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