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Dataset Title:  "Deepwater CTD - n4l06s09.ctd.nc - 29.5N, -86.47W - 1998-11-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_n4l06s09_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: 397)
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   199 options
    temperature ?  =  degree_C   366 options
    salinity ?  =  PSU   336 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   397 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   13 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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
2.0 24.645099639892578 35.96989822387695 4.590000152587891 2.5169999599456787 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
3.0 24.66119956970215 35.970401763916016 4.630000114440918 3.5230000019073486 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
3.0 24.661300659179688 35.96989822387695 4.619999885559082 3.0199999809265137 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
4.0 24.685400009155273 35.970298767089844 4.630000114440918 4.0269999504089355 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
4.0 24.68560028076172 35.97129821777344 4.75 4.53000020980835 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
5.0 24.677600860595703 35.97119903564453 4.46999979019165 5.5370001792907715 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
5.0 24.67770004272461 35.97090148925781 4.760000228881836 5.033999919891357 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
6.0 24.622100830078125 35.96910095214844 2.9000000953674316 6.544000148773193 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
6.0 24.64310073852539 35.97050094604492 3.119999885559082 6.039999961853027 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
7.0 24.614500045776367 35.96900177001953 2.9100000858306885 7.550000190734863 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
7.0 24.61720085144043 35.96879959106445 2.7899999618530273 7.046999931335449 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
8.0 24.614099502563477 35.96849822998047 8.557000160217285 0.0
8.0 24.615100860595703 35.96839904785156 2.819999933242798 8.053999900817871 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
9.0 24.612199783325195 35.969200134277344 9.564000129699707 0.0
9.0 24.61319923400879 35.96889877319336 9.0600004196167 0.0
10.0 24.61359977722168 35.969600677490234 10.571000099182129 0.0
10.0 24.61400032043457 35.96929931640625 10.067000389099121 0.0
11.0 24.608800888061523 35.970298767089844 11.57699966430664 0.0
11.0 24.612899780273438 35.96950149536133 11.074000358581543 0.0
12.0 24.612699508666992 35.96989822387695 12.081000328063965 0.0
12.0 24.61370086669922 35.970001220703125 12.583999633789062 0.0
13.0 24.61549949645996 35.970001220703125 13.086999893188477 0.0
13.0 24.615699768066406 35.97010040283203 13.590999603271484 0.0
14.0 24.61280059814453 35.97060012817383 14.597999572753906 0.0
14.0 24.613100051879883 35.970298767089844 14.093999862670898 0.0
15.0 24.615299224853516 35.970401763916016 15.10099983215332 0.0
15.0 24.616100311279297 35.970401763916016 15.604000091552734 0.0
16.0 24.608200073242188 35.97090148925781 16.611000061035156 0.0
16.0 24.610700607299805 35.97079849243164 16.107999801635742 0.0
17.0 24.607799530029297 35.97100067138672 17.618000030517578 0.0
17.0 24.60810089111328 35.97100067138672 17.11400032043457 0.0
18.0 24.607799530029297 35.97100067138672 18.625 0.0
18.0 24.607999801635742 35.971099853515625 18.121000289916992 0.0
19.0 24.60759925842285 35.97119903564453 19.128000259399414 0.0
19.0 24.60770034790039 35.971099853515625 19.631000518798828 0.0
20.0 24.60770034790039 35.97129821777344 20.63800048828125 0.0
20.0 24.60810089111328 35.97140121459961 20.135000228881836 0.0
21.0 24.606700897216797 35.971099853515625 21.645000457763672 0.0
21.0 24.60689926147461 35.971099853515625 21.142000198364258 0.0
22.0 24.60650062561035 35.97119903564453 22.148000717163086 0.0
22.0 24.606800079345703 35.97119903564453 22.652000427246094 0.0
23.0 24.60700035095215 35.971500396728516 23.155000686645508 0.0
23.0 24.608299255371094 35.9723014831543 23.659000396728516 0.0
24.0 24.608400344848633 35.9723014831543 24.16200065612793 0.0
24.0 24.608600616455078 35.9724006652832 24.665000915527344 0.0
25.0 24.608600616455078 35.9724006652832 25.16900062561035 0.0
25.0 24.60890007019043 35.9724006652832 25.672000885009766 0.0
26.0 24.608800888061523 35.97249984741211 26.176000595092773 0.0
26.0 24.60890007019043 35.972599029541016 26.679000854492188 0.0
27.0 24.608999252319336 35.972599029541016 27.68600082397461 0.0
27.0 24.608999252319336 35.97269821166992 27.183000564575195 0.0
28.0 24.609100341796875 35.97269821166992 28.18899917602539 0.0
28.0 24.60919952392578 35.97269821166992 28.69300079345703 0.0
29.0 24.60919952392578 35.972801208496094 29.195999145507812 0.0
29.0 24.60930061340332 35.97269821166992 29.700000762939453 0.0
30.0 24.60919952392578 35.972900390625 30.202999114990234 0.0
30.0 24.609600067138672 35.972999572753906 30.707000732421875 0.0
31.0 24.60890007019043 35.973201751708984 31.71299934387207 0.0
31.0 24.609899520874023 35.972999572753906 31.209999084472656 0.0
32.0 24.608600616455078 35.973201751708984 32.21699905395508 0.0
32.0 24.608600616455078 35.973201751708984 32.720001220703125 0.0
33.0 24.608600616455078 35.97309875488281 33.2239990234375 0.0
33.0 24.608800888061523 35.973201751708984 33.72700119018555 0.0
34.0 24.60890007019043 35.972999572753906 34.22999954223633 0.0
34.0 24.608999252319336 35.973201751708984 34.73400115966797 0.0
35.0 24.60919952392578 35.97330093383789 35.23699951171875 0.0
35.0 24.609500885009766 35.9734001159668 35.74100112915039 0.0
36.0 24.609699249267578 35.97370147705078 36.74800109863281 0.0
36.0 24.61009979248047 35.973899841308594 36.24399948120117 0.0
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38.0 24.610700607299805 35.973899841308594 38.257999420166016 0.0
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39.0 24.611299514770508 35.974300384521484 39.768001556396484 0.0
39.0 24.611499786376953 35.974300384521484 39.26499938964844 0.0
40.0 24.609100341796875 35.97309875488281 40.775001525878906 0.0
40.0 24.61050033569336 35.97380065917969 40.27199935913086 0.0
41.0 24.610700607299805 35.973899841308594 41.27899932861328 0.0
41.0 24.611400604248047 35.9739990234375 41.78200149536133 0.0
42.0 24.6112003326416 35.9739990234375 42.78900146484375 0.0
42.0 24.611400604248047 35.97420120239258 42.2859992980957 0.0
43.0 24.611299514770508 35.973899841308594 43.79600143432617 0.0
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44.0 24.612300872802734 35.97420120239258 44.29899978637695 0.0
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48.0 24.61520004272461 35.97560119628906 48.83000183105469 0.0
49.0 24.615100860595703 35.97549819946289 49.83700180053711 0.0
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50.0 24.6156005859375 35.97570037841797 50.340999603271484 0.0
50.0 24.615699768066406 35.97560119628906 50.84400177001953 0.0
51.0 24.61669921875 35.97629928588867 51.347999572753906 0.0
51.0 24.61680030822754 35.97629928588867 51.85100173950195 0.0
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53.0 24.61910057067871 35.977298736572266 53.36199951171875 0.0
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56.0 24.657899856567383 35.99580001831055 56.88600158691406 0.0
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57.0 24.674699783325195 36.003700256347656 57.893001556396484 0.0
58.0 24.70210075378418 36.016998291015625 58.39699935913086 0.0
58.0 24.724199295043945 36.02799987792969 58.900001525878906 0.0
59.0 24.744800567626953 36.036598205566406 59.40399932861328 0.0
59.0 24.757200241088867 36.042598724365234 59.90700149536133 0.0
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63.0 24.820600509643555 36.07619857788086 63.430999755859375 0.0
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194.0 15.26039981842041 36.01570129394531 195.39100646972656 0.0
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195.0 15.221599578857422 36.00279998779297 196.3990020751953 0.0
196.0 14.852800369262695 35.947200775146484 197.91000366210938 0.0
196.0 14.895700454711914 35.959598541259766 197.40699768066406 0.0
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197.0 14.732399940490723 35.93239974975586 198.41400146484375 0.0
198.0 14.59529972076416 35.91080093383789 199.92599487304688 0.0
198.0 14.68690013885498 35.92169952392578 199.4219970703125 0.0
199.0 14.547800064086914 35.90019989013672 200.93299865722656 0.0
199.0 14.594300270080566 35.909400939941406 200.42999267578125 0.0
200.0 14.503999710083008 35.89099884033203 201.9409942626953 0.0
200.0 14.526399612426758 35.89780044555664 201.43699645996094 0.0

In total, there are 397 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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