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Dataset Title:  "Deepwater CTD - 88g0543d.ctd.nc - 26.33N, -96.25W - 1988-10-22" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0543d_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: 92)
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   92 options
    temperature ?  =  degree_C   92 options
    salinity ?  =  PSU   92 options
    oxygen ?  =  milliliters per liter   20 options
    nitrite ?  =  micromols per liter   8 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols per liter   17 options
    silicate ?  =  micromols per liter   16 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
5.0 26.51490020751953 23.309900283813477 4.710000038146973 0.10000000149011612 -99.0 0.029999999329447746 2.0999999046325684 -99.0 0.0
10.0 26.507999420166016 -99.98999786376953 4.710000038146973 0.10000000149011612 -99.0 0.009999999776482582 1.7999999523162842 -99.0 0.0
15.0 26.491600036621094 36.508201599121094 4.698999881744385 0.20000000298023224 -99.0 0.009999999776482582 1.7999999523162842 -99.0 0.0
20.0 26.468799591064453 36.4739990234375 4.705999851226807 0.10000000149011612 -99.0 0.019999999552965164 1.600000023841858 -99.0 0.0
25.0 26.423200607299805 36.49209976196289 4.933000087738037 0.10000000149011612 -99.0 0.029999999329447746 1.600000023841858 -99.0 0.0
30.0 26.41900062561035 36.49129867553711 4.855999946594238 0.10000000149011612 -99.0 0.029999999329447746 1.600000023841858 -99.0 0.0
35.0 26.42300033569336 36.4922981262207 4.956999778747559 0.5 -99.0 0.029999999329447746 1.899999976158142 -99.0 0.0
40.0 26.42569923400879 36.49399948120117 4.724999904632568 0.5 -99.0 0.03999999910593033 1.899999976158142 -99.0 0.0
45.0 26.422800064086914 36.49369812011719 4.7230000495910645 0.800000011920929 -99.0 0.05000000074505806 1.600000023841858 -99.0 0.0
50.0 26.392900466918945 36.49039840698242 4.478000164031982 0.4000000059604645 -99.0 0.07000000029802322 1.7000000476837158 -99.0 0.0
55.0 25.981399536132812 36.465301513671875 4.0 0.699999988079071 3.409899950027466 0.20999999344348907 2.5 -99.0 0.0
60.0 25.73430061340332 36.49420166015625 3.0869998931884766 0.30000001192092896 12.009900093078613 0.6899999976158142 5.400000095367432 -99.0 0.0
65.0 25.359500885009766 36.4911994934082 2.740000009536743 0.10000000149011612 16.809900283813477 0.9700000286102295 7.5 -99.0 0.0
70.0 25.040300369262695 36.4900016784668 2.6440000534057617 0.10000000149011612 20.409900665283203 1.2200000286102295 9.5 -99.0 0.0
75.0 24.689599990844727 36.47880172729492 2.6549999713897705 0.20000000298023224 22.20989990234375 1.309999942779541 10.899999618530273 -99.0 0.0
80.0 24.246999740600586 36.47990036010742 2.5360000133514404 0.20000000298023224 23.009899139404297 1.3700000047683716 11.399999618530273 -99.0 0.0
85.0 23.558700561523438 36.502899169921875 2.515000104904175 0.20000000298023224 24.809900283813477 1.5099999904632568 12.600000381469727 -99.0 0.0
90.0 22.99530029296875 36.500099182128906 2.447999954223633 0.10000000149011612 26.309900283813477 1.6100000143051147 14.300000190734863 -99.0 0.0
95.0 22.633800506591797 36.49580001831055 2.5269999504089355 0.10000000149011612 27.70989990234375 1.7200000286102295 16.299999237060547 -99.0 0.0
100.0 22.409000396728516 36.492698669433594 2.5290000438690186 0.30000001192092896 28.909900665283203 1.7899999618530273 18.200000762939453 -99.0 0.0
105.0 22.18589973449707 36.48320007324219 0.0
110.0 21.93589973449707 36.46760177612305 0.0
115.0 21.62299919128418 36.45750045776367 0.0
120.0 21.392799377441406 36.439300537109375 0.0
125.0 20.86370086669922 36.39139938354492 0.0
130.0 20.147300720214844 36.403099060058594 0.0
135.0 19.63559913635254 36.407901763916016 0.0
140.0 19.067899703979492 36.33919906616211 0.0
145.0 18.674699783325195 36.34640121459961 0.0
150.0 18.397499084472656 36.29280090332031 0.0
155.0 17.61280059814453 36.18220138549805 0.0
160.0 17.1294002532959 36.18280029296875 0.0
165.0 16.61359977722168 36.14459991455078 0.0
170.0 16.270700454711914 36.09769821166992 0.0
175.0 15.608200073242188 36.0172004699707 0.0
180.0 15.309499740600586 35.98619842529297 0.0
185.0 14.989399909973145 35.91419982910156 0.0
190.0 14.747400283813477 35.875301361083984 1.0
195.0 14.405099868774414 -99.9000015258789 0.0
200.0 14.074199676513672 35.78689956665039 0.0
205.0 13.932999610900879 35.76890182495117 0.0
210.0 13.695500373840332 35.733699798583984 0.0
215.0 13.491800308227539 35.709999084472656 0.0
220.0 13.309800148010254 35.692100524902344 0.0
225.0 13.244400024414062 35.686798095703125 0.0
230.0 13.187600135803223 35.663299560546875 0.0
235.0 13.037500381469727 35.639801025390625 0.0
240.0 12.920499801635742 35.62799835205078 0.0
245.0 12.803400039672852 35.6067008972168 0.0
250.0 12.765700340270996 35.61370086669922 0.0
255.0 12.734800338745117 35.60279846191406 0.0
260.0 12.60789966583252 35.5797004699707 0.0
265.0 12.482399940490723 35.56290054321289 0.0
270.0 12.38539981842041 35.548301696777344 0.0
275.0 12.27299976348877 35.5172004699707 0.0
280.0 12.08549976348877 35.49319839477539 0.0
285.0 11.974699974060059 35.48590087890625 0.0
290.0 11.884200096130371 35.460201263427734 0.0
295.0 11.746600151062012 35.427398681640625 0.0
300.0 11.619999885559082 35.431800842285156 0.0
305.0 11.59589958190918 35.43659973144531 0.0
310.0 11.543800354003906 35.415000915527344 0.0
315.0 11.418499946594238 35.395198822021484 0.0
320.0 11.291799545288086 35.37540054321289 0.0
325.0 11.190999984741211 35.3672981262207 0.0
330.0 11.117600440979004 35.36429977416992 0.0
335.0 11.042200088500977 35.35609817504883 0.0
340.0 10.999600410461426 35.35200119018555 0.0
345.0 10.970499992370605 35.35070037841797 0.0
350.0 10.905699729919434 35.33380126953125 0.0
355.0 10.861200332641602 35.330299377441406 0.0
360.0 10.817099571228027 35.3125 0.0
365.0 10.714400291442871 35.29759979248047 0.0
370.0 10.627300262451172 35.287899017333984 0.0
375.0 10.487099647521973 35.260398864746094 0.0
380.0 10.369400024414062 35.243900299072266 0.0
385.0 10.195500373840332 35.19499969482422 1.0
390.0 10.013400077819824 35.19409942626953 0.0
395.0 9.94480037689209 35.19490051269531 0.0
400.0 9.899999618530273 35.190101623535156 0.0
405.0 9.837400436401367 35.17879867553711 0.0
410.0 9.75979995727539 35.17210006713867 0.0
415.0 9.723600387573242 35.17449951171875 0.0
420.0 9.690500259399414 35.16379928588867 0.0
425.0 9.590499877929688 35.15140151977539 0.0
430.0 9.542499542236328 35.14500045776367 0.0
435.0 9.514200210571289 35.14739990234375 0.0
440.0 9.49940013885498 35.14400100708008 0.0
445.0 9.467399597167969 35.13710021972656 0.0
450.0 9.42080020904541 35.12950134277344 0.0
455.0 9.389100074768066 35.132301330566406 0.0
460.0 9.332300186157227 35.12300109863281 0.0

In total, there are 92 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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