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Dataset Title:  "Deepwater CTD - n4l09s17.ctd.nc - 28.19N, -85.75W - 1998-11-17" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_n4l09s17_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: 997)
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   499 options
    temperature ?  =  degree_C   974 options
    salinity ?  =  PSU   925 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   997 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 24.939899444580078 35.96289825439453 4.590000152587891 2.5160000324249268 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
3.0 24.938899993896484 35.9630012512207 4.630000114440918 3.5230000019073486 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
3.0 24.93939971923828 35.96289825439453 4.619999885559082 3.0199999809265137 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
4.0 24.93910026550293 35.96310043334961 4.630000114440918 4.0269999504089355 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
4.0 24.942399978637695 35.963600158691406 4.75 4.53000020980835 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
5.0 24.94219970703125 35.9635009765625 4.760000228881836 5.0329999923706055 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
5.0 24.94339942932129 35.9635009765625 4.46999979019165 5.5370001792907715 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
6.0 24.944599151611328 35.96379852294922 3.119999885559082 6.039999961853027 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
6.0 24.945999145507812 35.9640007019043 2.9000000953674316 6.544000148773193 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
7.0 24.946500778198242 35.9640998840332 2.7899999618530273 7.046999931335449 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
7.0 24.946699142456055 35.9640007019043 2.9100000858306885 7.550000190734863 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
8.0 24.946699142456055 35.96369934082031 2.819999933242798 8.053999900817871 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
8.0 24.947999954223633 35.96419906616211 8.557000160217285 0.0
9.0 24.949499130249023 35.96440124511719 9.564000129699707 0.0
9.0 24.949800491333008 35.964599609375 9.0600004196167 0.0
10.0 24.948400497436523 35.96419906616211 10.067000389099121 0.0
10.0 24.94860076904297 35.964298248291016 10.571000099182129 0.0
11.0 24.947399139404297 35.96390151977539 11.57699966430664 0.0
11.0 24.94849967956543 35.96419906616211 11.074000358581543 0.0
12.0 24.94770050048828 35.96390151977539 12.081000328063965 0.0
12.0 24.948400497436523 35.9640998840332 12.583999633789062 0.0
13.0 24.948400497436523 35.9640007019043 13.088000297546387 0.0
13.0 24.94860076904297 35.9640998840332 13.590999603271484 0.0
14.0 24.94809913635254 35.9640007019043 14.597999572753906 0.0
14.0 24.948400497436523 35.9640998840332 14.093999862670898 0.0
15.0 24.949199676513672 35.96419906616211 15.10099983215332 0.0
15.0 24.949399948120117 35.96419906616211 15.604999542236328 0.0
16.0 24.948999404907227 35.964298248291016 16.611000061035156 0.0
16.0 24.949399948120117 35.964298248291016 16.107999801635742 0.0
17.0 24.946699142456055 35.96390151977539 17.114999771118164 0.0
17.0 24.947999954223633 35.9640998840332 17.618000030517578 0.0
18.0 24.944700241088867 35.9635009765625 18.625 0.0
18.0 24.948299407958984 35.9640998840332 18.121000289916992 0.0
19.0 24.944400787353516 35.963401794433594 19.128000259399414 0.0
19.0 24.944700241088867 35.9635009765625 19.631000518798828 0.0
20.0 24.945499420166016 35.963401794433594 20.135000228881836 0.0
20.0 24.9468994140625 35.96369934082031 20.63800048828125 0.0
21.0 24.94569969177246 35.963600158691406 21.645000457763672 0.0
21.0 24.945999145507812 35.96369934082031 21.142000198364258 0.0
22.0 24.945999145507812 35.963600158691406 22.652000427246094 0.0
22.0 24.94610023498535 35.963600158691406 22.148000717163086 0.0
23.0 24.945999145507812 35.963600158691406 23.155000686645508 0.0
23.0 24.946399688720703 35.963600158691406 23.659000396728516 0.0
24.0 24.946800231933594 35.963600158691406 24.16200065612793 0.0
24.0 24.947099685668945 35.963600158691406 24.666000366210938 0.0
25.0 24.946800231933594 35.9635009765625 25.16900062561035 0.0
25.0 24.9468994140625 35.963600158691406 25.672000885009766 0.0
26.0 24.9468994140625 35.9635009765625 26.176000595092773 0.0
26.0 24.94700050354004 35.963600158691406 26.679000854492188 0.0
27.0 24.9468994140625 35.96369934082031 27.183000564575195 0.0
27.0 24.95240020751953 35.96500015258789 27.68600082397461 0.0
28.0 24.958200454711914 35.965999603271484 28.69300079345703 0.0
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31.0 24.962900161743164 35.968299865722656 31.209999084472656 0.0
31.0 24.963699340820312 35.96889877319336 31.71299934387207 0.0
32.0 24.97570037841797 35.975799560546875 32.21699905395508 0.0
32.0 24.977500915527344 35.975101470947266 32.720001220703125 0.0
33.0 24.975900650024414 35.9739990234375 33.2239990234375 0.0
33.0 24.97879981994629 35.97549819946289 33.72700119018555 0.0
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34.0 24.977500915527344 35.97489929199219 34.22999954223633 0.0
35.0 24.95989990234375 35.96689987182617 35.23699951171875 0.0
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37.0 25.01129913330078 35.99800109863281 37.250999450683594 0.0
37.0 25.077199935913086 36.037200927734375 37.755001068115234 0.0
38.0 25.114599227905273 36.04309844970703 38.257999420166016 0.0
38.0 25.12969970703125 36.0547981262207 38.76100158691406 0.0
39.0 25.159900665283203 36.06959915161133 39.26499938964844 0.0
39.0 25.174400329589844 36.07400131225586 39.768001556396484 0.0
40.0 25.173599243164062 36.074100494384766 40.27199935913086 0.0
40.0 25.181299209594727 36.07870101928711 40.775001525878906 0.0
41.0 25.202499389648438 36.08869934082031 41.78200149536133 0.0
41.0 25.204999923706055 36.09090042114258 41.27899932861328 0.0
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42.0 25.200300216674805 36.08720016479492 42.2859992980957 0.0
43.0 25.197999954223633 36.08599853515625 43.29199981689453 0.0
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49.0 25.327800750732422 36.15909957885742 49.83700180053711 0.0
50.0 25.32979965209961 36.160099029541016 50.340999603271484 0.0
50.0 25.331300735473633 36.16080093383789 50.84400177001953 0.0
51.0 25.33209991455078 36.1609992980957 51.347999572753906 0.0
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58.0 25.399999618530273 36.19380187988281 58.900001525878906 0.0
58.0 25.400999069213867 36.19369888305664 58.39699935913086 0.0
59.0 25.379899978637695 36.187599182128906 59.90700149536133 0.0
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494.0 7.264599800109863 34.9099006652832 497.906005859375 0.0
495.0 7.239999771118164 34.90869903564453 499.41900634765625 0.0
495.0 7.245299816131592 34.90890121459961 498.9150085449219 0.0
496.0 7.23199987411499 34.908599853515625 500.4280090332031 0.0
496.0 7.238999843597412 34.908599853515625 499.92401123046875 0.0
497.0 7.223599910736084 34.908199310302734 501.43798828125 0.0
497.0 7.226799964904785 34.90829849243164 500.9330139160156 0.0
498.0 7.217599868774414 34.90739822387695 502.4469909667969 0.0
498.0 7.220300197601318 34.907901763916016 501.9419860839844 0.0
499.0 7.218699932098389 34.90769958496094 503.45599365234375 0.0
499.0 7.219900131225586 34.907501220703125 502.95098876953125 0.0
500.0 7.207399845123291 34.90679931640625 504.4649963378906 0.0
500.0 7.208600044250488 34.907100677490234 503.96099853515625 0.0

In total, there are 997 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.


 
ERDDAP, Version 2.23
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