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Dataset Title:  "Deepwater CTD - 93g124b.ctd.nc - 27.37N, -95.9W - 1993-11-03" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_93g124b_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: 363)
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   363 options
    temperature ?  =  degree_C   351 options
    salinity ?  =  PSU   336 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   10 options
    phosphate ?  =  micromols per liter   11 options
    silicate ?  =  micromols per liter   12 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
3.0 24.91550064086914 36.253700256347656 4.8470001220703125 0.05000000074505806 0.10000000149011612 0.029999999329447746 1.899999976158142 -99.0 0.0
4.0 24.919700622558594 36.29880142211914 4.877999782562256 0.05000000074505806 0.0 0.05999999865889549 1.7000000476837158 -99.0 0.0
5.0 24.916000366210938 36.296600341796875 4.855000019073486 0.05000000074505806 0.0 0.019999999552965164 1.399999976158142 -99.0 0.0
6.0 24.916000366210938 36.29679870605469 4.84499979019165 0.05000000074505806 0.0 0.019999999552965164 1.2999999523162842 -99.0 0.0
7.0 24.913400650024414 36.29759979248047 4.801000118255615 0.05999999865889549 0.10000000149011612 0.019999999552965164 1.0 -99.0 0.0
8.0 24.910900115966797 36.297698974609375 4.27400016784668 0.03999999910593033 1.2000000476837158 0.07999999821186066 0.8999999761581421 -99.0 0.0
9.0 24.91469955444336 36.297401428222656 3.5190000534057617 0.019999999552965164 5.800000190734863 0.2800000011920929 1.2999999523162842 -99.0 0.0
10.0 24.9158992767334 36.29719924926758 2.941999912261963 0.009999999776482582 12.300000190734863 0.6600000262260437 2.4000000953674316 -99.0 0.0
11.0 24.92009925842285 36.29690170288086 2.8269999027252197 0.009999999776482582 17.5 1.0199999809265137 4.599999904632568 -99.0 0.0
12.0 24.922100067138672 36.296600341796875 2.6389999389648438 0.019999999552965164 23.600000381469727 1.4700000286102295 8.399999618530273 -99.0 0.0
14.0 24.922700881958008 36.29669952392578 2.5829999446868896 0.009999999776482582 28.799999237060547 1.8700000047683716 13.300000190734863 -99.0 0.0
15.0 24.92259979248047 36.2963981628418 2.697000026702881 0.009999999776482582 30.899999618530273 2.059999942779541 17.299999237060547 -99.0 0.0
16.0 24.92259979248047 36.2963981628418 0.0
17.0 24.923099517822266 36.296199798583984 0.0
18.0 24.923799514770508 36.296199798583984 0.0
19.0 24.923500061035156 36.29629898071289 0.0
20.0 24.922300338745117 36.29690170288086 0.0
21.0 24.92449951171875 36.296199798583984 0.0
22.0 24.924299240112305 36.29570007324219 0.0
23.0 24.924999237060547 36.294898986816406 0.0
24.0 24.92650032043457 36.295101165771484 0.0
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27.0 24.927000045776367 36.29499816894531 0.0
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324.0 11.197099685668945 35.3760986328125 0.0
325.0 11.168999671936035 35.372100830078125 0.0
326.0 11.150400161743164 35.36880111694336 0.0
327.0 11.128899574279785 35.36429977416992 0.0
329.0 11.121199607849121 35.36289978027344 0.0
330.0 11.11769962310791 35.361900329589844 0.0
331.0 11.108599662780762 35.359798431396484 0.0
332.0 11.109800338745117 35.36029815673828 0.0
333.0 11.052900314331055 35.353599548339844 0.0
334.0 11.010499954223633 35.34769821166992 0.0
335.0 10.9891996383667 35.34389877319336 0.0
336.0 10.971699714660645 35.34109878540039 0.0
337.0 10.953900337219238 35.33879852294922 0.0
338.0 10.934599876403809 35.33599853515625 0.0
339.0 10.908300399780273 35.331600189208984 0.0
340.0 10.8572998046875 35.32550048828125 0.0
341.0 10.854499816894531 35.32500076293945 0.0
342.0 10.83899974822998 35.32279968261719 0.0
343.0 10.812000274658203 35.319000244140625 0.0
344.0 10.796299934387207 35.31610107421875 0.0
345.0 10.779000282287598 35.313899993896484 0.0
346.0 10.741399765014648 35.31039810180664 0.0
347.0 10.694000244140625 35.3046989440918 0.0
348.0 10.639599800109863 35.29629898071289 0.0
349.0 10.61709976196289 35.292301177978516 0.0
350.0 10.588899612426758 35.28839874267578 0.0
351.0 10.582599639892578 35.28689956665039 0.0
352.0 10.565299987792969 35.284400939941406 0.0
353.0 10.543100357055664 35.28129959106445 0.0
354.0 10.49470043182373 35.27470016479492 0.0
355.0 10.443699836730957 35.268001556396484 0.0
356.0 10.417499542236328 35.26490020751953 0.0
357.0 10.406800270080566 35.26459884643555 0.0
358.0 10.402299880981445 35.26559829711914 0.0
359.0 10.38860034942627 35.26409912109375 0.0
361.0 10.362299919128418 35.26060104370117 0.0
362.0 10.348600387573242 35.259700775146484 0.0
363.0 10.332099914550781 35.257999420166016 0.0
364.0 10.31820011138916 35.25559997558594 0.0
365.0 10.314499855041504 35.254798889160156 0.0
366.0 10.303000450134277 35.25299835205078 0.0
367.0 10.287699699401855 35.25170135498047 0.0
368.0 10.266599655151367 35.2494010925293 0.0
369.0 10.259699821472168 35.24800109863281 0.0
370.0 10.258399963378906 35.24769973754883 0.0
371.0 10.256099700927734 35.247398376464844 0.0
372.0 10.253399848937988 35.24729919433594 0.0
373.0 10.239399909973145 35.245601654052734 0.0
374.0 10.230799674987793 35.24399948120117 0.0
375.0 10.225700378417969 35.24340057373047 0.0
376.0 10.222599983215332 35.24300003051758 0.0
377.0 10.219799995422363 35.242401123046875 0.0
378.0 10.2121000289917 35.24140167236328 0.0
379.0 10.187000274658203 35.237998962402344 0.0
380.0 10.155400276184082 35.233699798583984 0.0
381.0 10.145500183105469 35.231998443603516 0.0
382.0 10.124099731445312 35.22930145263672 0.0
383.0 10.110699653625488 35.22719955444336 0.0
384.0 10.109199523925781 35.22669982910156 0.0
385.0 10.10200023651123 35.22560119628906 0.0
386.0 10.076800346374512 35.22249984741211 0.0
387.0 10.034899711608887 35.21689987182617 0.0
388.0 10.016400337219238 35.214500427246094 0.0
389.0 10.009099960327148 35.21269989013672 0.0
390.0 10.004199981689453 35.212100982666016 0.0
391.0 9.990300178527832 35.210201263427734 0.0
392.0 9.976400375366211 35.207698822021484 0.0
393.0 9.971199989318848 35.207000732421875 0.0
394.0 9.95580005645752 35.205101013183594 0.0
395.0 9.883600234985352 35.19490051269531 0.0
396.0 9.850799560546875 35.18949890136719 0.0
397.0 9.834699630737305 35.1864013671875 0.0
398.0 9.829299926757812 35.185298919677734 0.0
399.0 9.808799743652344 35.18190002441406 0.0
400.0 9.794300079345703 35.1797981262207 0.0
401.0 9.811599731445312 35.18230056762695 0.0

In total, there are 363 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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