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Dataset Title:  "Deepwater CTD - 90g10082.ctd.nc - 28.05N, -90.19W - 1990-07-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_90g10082_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: 364)
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   364 options
    temperature ?  =  degree_C   364 options
    salinity ?  =  PSU   358 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols   5 options
    nitrate ?  =  micromols   10 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   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 micromols micromols micromols PSU
4.0 29.069799423217773 32.1427001953125 4.519000053405762 0.009999999776482582 0.0 0.009999999776482582 2.5 -99.0 0.0
5.0 29.069400787353516 32.126800537109375 4.567999839782715 0.009999999776482582 0.10000000149011612 0.009999999776482582 2.799999952316284 -99.0 0.0
6.0 29.083200454711914 32.18370056152344 5.197000026702881 0.009999999776482582 0.10000000149011612 0.029999999329447746 2.200000047683716 -99.0 0.0
7.0 29.19879913330078 32.68939971923828 4.789000034332275 0.009999999776482582 0.10000000149011612 0.009999999776482582 2.5999999046325684 -99.0 0.0
8.0 29.24090003967285 33.410701751708984 3.311000108718872 0.07000000029802322 9.5 0.09000000357627869 4.900000095367432 -99.0 0.0
9.0 29.119800567626953 33.721500396728516 3.263000011444092 0.019999999552965164 13.0 0.7699999809265137 6.599999904632568 -99.0 0.0
10.0 29.111799240112305 33.89310073852539 3.0799999237060547 0.009999999776482582 16.0 1.059999942779541 8.600000381469727 -99.0 0.0
11.0 29.07710075378418 33.95869827270508 2.861999988555908 0.0 20.0 1.2999999523162842 11.199999809265137 -99.0 0.0
12.0 29.14419937133789 34.13669967651367 2.7039999961853027 0.009999999776482582 24.100000381469727 1.5199999809265137 14.100000381469727 -99.0 0.0
13.0 29.59910011291504 34.742698669433594 2.890000104904175 0.009999999776482582 28.799999237060547 1.7899999618530273 18.0 -99.0 0.0
14.0 29.686800003051758 34.933998107910156 2.7869999408721924 0.009999999776482582 31.700000762939453 1.9700000286102295 22.299999237060547 -99.0 0.0
15.0 29.577600479125977 34.98809814453125 0.0
16.0 29.466800689697266 35.04069900512695 0.0
17.0 29.479299545288086 35.109798431396484 0.0
18.0 29.448699951171875 35.175498962402344 0.0
19.0 29.261899948120117 35.31010055541992 0.0
20.0 29.11910057067871 35.46540069580078 0.0
21.0 28.97450065612793 35.60810089111328 0.0
22.0 28.631900787353516 35.63600158691406 0.0
23.0 28.26889991760254 35.6057014465332 0.0
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296.0 11.214599609375 35.37049865722656 0.0
297.0 11.198800086975098 35.36940002441406 0.0
298.0 11.1943998336792 35.369300842285156 0.0
299.0 11.190099716186523 35.369300842285156 0.0
300.0 11.186100006103516 35.3671989440918 0.0
301.0 11.170299530029297 35.36249923706055 0.0
302.0 11.146400451660156 35.361698150634766 0.0
303.0 11.123499870300293 35.357200622558594 0.0
304.0 11.060999870300293 35.346099853515625 0.0
305.0 11.023900032043457 35.34489822387695 0.0
306.0 10.984700202941895 35.3385009765625 0.0
307.0 10.908900260925293 35.325401306152344 0.0
308.0 10.827400207519531 35.31460189819336 0.0
309.0 10.774700164794922 35.30820083618164 0.0
310.0 10.758700370788574 35.30759811401367 0.0
311.0 10.743000030517578 35.30659866333008 0.0
312.0 10.726099967956543 35.30110168457031 0.0
313.0 10.702099800109863 35.298500061035156 0.0
314.0 10.659500122070312 35.290401458740234 0.0
315.0 10.595999717712402 35.283199310302734 0.0
316.0 10.56760025024414 35.28089904785156 0.0
317.0 10.56309986114502 35.28030014038086 0.0
318.0 10.555299758911133 35.27980041503906 0.0
319.0 10.532999992370605 35.27619934082031 0.0
320.0 10.503399848937988 35.270301818847656 0.0
321.0 10.491100311279297 35.270599365234375 0.0
322.0 10.490099906921387 35.27090072631836 0.0
323.0 10.487700462341309 35.26940155029297 0.0
324.0 10.482099533081055 35.2692985534668 0.0
325.0 10.47819995880127 35.2681999206543 0.0
326.0 10.468400001525879 35.26539993286133 0.0
327.0 10.442899703979492 35.26179885864258 0.0
328.0 10.409000396728516 35.25960159301758 0.0
329.0 10.396300315856934 35.25920104980469 0.0
330.0 10.379300117492676 35.25640106201172 0.0
331.0 10.358099937438965 35.25149917602539 0.0
332.0 10.326899528503418 35.24549865722656 0.0
333.0 10.277999877929688 35.24020004272461 0.0
334.0 10.264699935913086 35.238800048828125 0.0
335.0 10.251399993896484 35.234901428222656 0.0
336.0 10.238300323486328 35.23500061035156 0.0
337.0 10.224300384521484 35.233299255371094 0.0
338.0 10.221099853515625 35.22959899902344 0.0
339.0 10.20989990234375 35.22990036010742 0.0
340.0 10.204000473022461 35.22880172729492 0.0
341.0 10.199299812316895 35.22880172729492 0.0
342.0 10.18910026550293 35.22800064086914 0.0
343.0 10.184499740600586 35.227699279785156 0.0
344.0 10.180999755859375 35.22679901123047 0.0
345.0 10.17770004272461 35.22700119018555 0.0
346.0 10.17609977722168 35.226600646972656 0.0
347.0 10.174099922180176 35.22610092163086 0.0
348.0 10.173199653625488 35.22610092163086 0.0
349.0 10.170999526977539 35.22549819946289 0.0
350.0 10.163200378417969 35.224700927734375 0.0
351.0 10.142900466918945 35.218299865722656 0.0
352.0 10.111100196838379 35.21770095825195 0.0
353.0 10.097800254821777 35.215999603271484 0.0
354.0 10.086099624633789 35.21440124511719 0.0
355.0 10.0693998336792 35.21269989013672 0.0
356.0 10.066100120544434 35.20949935913086 0.0
357.0 10.060600280761719 35.20840072631836 0.0
358.0 10.031700134277344 35.2047004699707 0.0
359.0 10.006500244140625 35.200199127197266 0.0
360.0 9.957099914550781 35.195098876953125 0.0
361.0 9.932299613952637 35.192298889160156 0.0
362.0 9.916500091552734 35.190799713134766 0.0
363.0 9.906399726867676 35.189998626708984 0.0
364.0 9.89430046081543 35.18870162963867 0.0
365.0 9.854399681091309 35.18280029296875 0.0
366.0 9.817299842834473 35.17789840698242 0.0
367.0 9.700300216674805 35.152198791503906 0.0

In total, there are 364 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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