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Dataset Title:  "Deepwater CTD - 90g10023.ctd.nc - 27.59N, -93.2W - 1990-07-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_90g10023_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: 375)
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   375 options
    temperature ?  =  degree_C   375 options
    salinity ?  =  PSU   372 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   11 options
    silicate ?  =  micromols per liter   11 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
2.0 28.89109992980957 33.75490188598633 4.565000057220459 0.009999999776482582 0.20000000298023224 0.019999999552965164 2.200000047683716 -99.0 0.0
3.0 28.889799118041992 33.53239822387695 4.672999858856201 0.0 0.20000000298023224 0.009999999776482582 2.5999999046325684 -99.0 0.0
4.0 28.89299964904785 33.523799896240234 5.041999816894531 0.0 0.20000000298023224 0.029999999329447746 2.5999999046325684 -99.0 0.0
5.0 28.896900177001953 33.51369857788086 4.770999908447266 0.0 0.20000000298023224 0.019999999552965164 2.700000047683716 -99.0 0.0
6.0 28.899799346923828 33.51839828491211 4.26200008392334 0.05999999865889549 0.8999999761581421 0.05000000074505806 2.9000000953674316 -99.0 0.0
7.0 28.91830062866211 33.57270050048828 4.302999973297119 0.3100000023841858 1.5 0.10000000149011612 3.0999999046325684 -99.0 0.0
8.0 29.093000411987305 34.16189956665039 3.240000009536743 0.09000000357627869 9.600000381469727 0.550000011920929 5.300000190734863 -99.0 0.0
9.0 29.153499603271484 34.30220031738281 3.0880000591278076 0.009999999776482582 14.199999809265137 0.8199999928474426 7.099999904632568 -99.0 0.0
10.0 29.134199142456055 34.53559875488281 2.888000011444092 0.0 19.299999237060547 1.100000023841858 9.800000190734863 -99.0 0.0
11.0 29.099199295043945 34.935298919677734 2.6740000247955322 0.0 22.700000762939453 1.3200000524520874 12.0 -99.0 0.0
12.0 29.10540008544922 34.87289810180664 2.5950000286102295 0.0 29.600000381469727 1.8300000429153442 19.200000762939453 -99.0 0.0
13.0 29.111099243164062 34.81669998168945 0.0
14.0 29.1028995513916 34.91550064086914 0.0
15.0 29.074499130249023 35.203399658203125 0.0
16.0 29.06049919128418 35.45309829711914 0.0
17.0 29.094600677490234 35.71979904174805 0.0
18.0 29.05900001525879 35.892398834228516 0.0
19.0 29.034000396728516 35.857398986816406 0.0
20.0 29.06879997253418 35.91889953613281 0.0
21.0 29.077199935913086 36.022499084472656 0.0
22.0 29.057600021362305 36.021400451660156 0.0
23.0 29.026899337768555 36.04570007324219 0.0
24.0 28.975000381469727 36.04990005493164 0.0
25.0 28.894399642944336 36.04859924316406 0.0
26.0 28.840999603271484 36.0619010925293 0.0
27.0 28.74530029296875 36.08100128173828 0.0
28.0 28.61009979248047 36.10139846801758 0.0
29.0 28.363100051879883 36.12919998168945 0.0
30.0 28.154699325561523 36.13570022583008 0.0
31.0 27.839099884033203 36.15869903564453 0.0
32.0 27.652799606323242 36.183101654052734 0.0
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34.0 27.440399169921875 36.18769836425781 0.0
35.0 27.277099609375 36.18429946899414 0.0
36.0 26.77239990234375 36.186100006103516 0.0
37.0 26.52440071105957 36.166099548339844 0.0
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41.0 25.815099716186523 36.259700775146484 0.0
42.0 25.664899826049805 36.257999420166016 0.0
43.0 25.588199615478516 36.26319885253906 0.0
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292.0 11.882200241088867 35.48059844970703 0.0
293.0 11.844200134277344 35.4739990234375 0.0
294.0 11.799599647521973 35.468101501464844 0.0
295.0 11.760700225830078 35.463600158691406 0.0
296.0 11.750200271606445 35.461299896240234 0.0
297.0 11.741700172424316 35.46030044555664 0.0
298.0 11.73009967803955 35.45690155029297 0.0
299.0 11.713000297546387 35.45539855957031 0.0
300.0 11.682999610900879 35.45119857788086 0.0
301.0 11.663800239562988 35.448001861572266 0.0
302.0 11.647199630737305 35.4453010559082 0.0
303.0 11.621999740600586 35.441200256347656 0.0
304.0 11.601300239562988 35.43870162963867 0.0
305.0 11.59570026397705 35.4380989074707 0.0
306.0 11.578499794006348 35.435298919677734 0.0
307.0 11.540800094604492 35.430198669433594 0.0
308.0 11.510100364685059 35.424400329589844 0.0
309.0 11.47029972076416 35.41910171508789 0.0
310.0 11.453200340270996 35.41640090942383 0.0
311.0 11.422300338745117 35.411399841308594 0.0
312.0 11.379199981689453 35.404701232910156 0.0
313.0 11.361100196838379 35.40489959716797 0.0
314.0 11.346699714660645 35.400901794433594 0.0
315.0 11.305000305175781 35.3927001953125 0.0
316.0 11.296899795532227 35.39459991455078 0.0
317.0 11.271699905395508 35.388999938964844 0.0
318.0 11.205300331115723 35.380401611328125 0.0
319.0 11.153900146484375 35.37300109863281 0.0
320.0 11.127799987792969 35.36940002441406 0.0
321.0 11.11870002746582 35.36840057373047 0.0
322.0 11.10319995880127 35.365699768066406 0.0
323.0 11.070799827575684 35.36069869995117 0.0
324.0 11.016900062561035 35.349998474121094 0.0
325.0 10.974900245666504 35.34700012207031 0.0
326.0 10.92609977722168 35.34000015258789 0.0
327.0 10.890299797058105 35.33470153808594 0.0
328.0 10.835599899291992 35.327301025390625 0.0
329.0 10.793499946594238 35.32109832763672 0.0
330.0 10.780799865722656 35.320098876953125 0.0
331.0 10.740799903869629 35.3129997253418 0.0
332.0 10.727399826049805 35.314701080322266 0.0
333.0 10.662799835205078 35.303199768066406 0.0
334.0 10.601200103759766 35.29119873046875 0.0
335.0 10.60159969329834 35.295501708984375 0.0
336.0 10.55459976196289 35.28929901123047 0.0
337.0 10.536199569702148 35.286598205566406 0.0
338.0 10.534799575805664 35.28609848022461 0.0
339.0 10.52750015258789 35.2849006652832 0.0
340.0 10.509300231933594 35.281700134277344 0.0
341.0 10.493800163269043 35.27949905395508 0.0
342.0 10.456999778747559 35.27349853515625 0.0
343.0 10.40250015258789 35.264801025390625 0.0
344.0 10.381999969482422 35.263301849365234 0.0
345.0 10.331500053405762 35.256500244140625 0.0
346.0 10.304800033569336 35.252601623535156 0.0
347.0 10.278400421142578 35.246700286865234 0.0
348.0 10.243900299072266 35.244300842285156 0.0
349.0 10.239500045776367 35.24340057373047 0.0
350.0 10.191100120544434 35.235599517822266 0.0
351.0 10.159299850463867 35.2307014465332 0.0
352.0 10.132800102233887 35.22829818725586 0.0
353.0 10.104299545288086 35.223201751708984 0.0
354.0 10.07979965209961 35.221500396728516 0.0
355.0 10.055700302124023 35.21760177612305 0.0
356.0 10.034500122070312 35.21440124511719 0.0
357.0 10.018699645996094 35.212398529052734 0.0
358.0 9.987899780273438 35.207801818847656 0.0
359.0 9.91819953918457 35.196998596191406 0.0
360.0 9.893600463867188 35.194801330566406 0.0
361.0 9.871500015258789 35.191200256347656 0.0
362.0 9.856399536132812 35.188499450683594 0.0
363.0 9.815500259399414 35.18389892578125 0.0
364.0 9.793899536132812 35.180599212646484 0.0
365.0 9.775400161743164 35.17720031738281 0.0
366.0 9.72029972076416 35.1702995300293 0.0
367.0 9.664899826049805 35.15800094604492 0.0
368.0 9.547800064086914 35.149600982666016 0.0
369.0 9.546199798583984 35.147701263427734 0.0
370.0 9.514900207519531 35.13999938964844 0.0
371.0 9.493399620056152 35.1432991027832 0.0
372.0 9.46090030670166 35.13669967651367 0.0
373.0 9.444600105285645 35.134300231933594 0.0
374.0 9.4173002243042 35.13100051879883 0.0
375.0 9.385100364685059 35.12699890136719 0.0
376.0 9.372200012207031 35.12540054321289 0.0

In total, there are 375 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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