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Dataset Title:  "Deepwater CTD - n4l01s05.ctd.nc - 28.81N, -88.95W - 1998-11-24" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_n4l01s05_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: 998)
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   985 options
    salinity ?  =  PSU   936 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   998 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
3.0 24.246200561523438 34.365699768066406 4.590000152587891 3.0199999809265137 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
3.0 24.246999740600586 34.36629867553711 4.619999885559082 3.5230000019073486 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
4.0 24.27720069885254 34.417198181152344 4.630000114440918 4.0269999504089355 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
4.0 24.340900421142578 34.51380157470703 4.630000114440918 4.53000020980835 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
5.0 24.404499053955078 34.61050033569336 4.75 5.033999919891357 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
5.0 24.53219985961914 34.82279968261719 4.760000228881836 5.5370001792907715 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
6.0 24.63629913330078 34.9817008972168 4.46999979019165 6.039999961853027 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
6.0 24.82550048828125 35.27519989013672 3.119999885559082 6.544000148773193 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
7.0 24.93120002746582 35.448699951171875 2.9000000953674316 7.046999931335449 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
7.0 25.02359962463379 35.60210037231445 2.7899999618530273 7.550000190734863 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
8.0 25.139699935913086 35.80009841918945 2.9100000858306885 8.053999900817871 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
8.0 25.197799682617188 35.89080047607422 2.819999933242798 8.557000160217285 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
9.0 25.193500518798828 35.9005012512207 9.564000129699707 0.0
9.0 25.195600509643555 35.895599365234375 9.0600004196167 0.0
10.0 25.191299438476562 35.90530014038086 10.067000389099121 0.0
10.0 25.202299118041992 35.922000885009766 10.571000099182129 0.0
11.0 25.20210075378418 35.92250061035156 11.074000358581543 0.0
11.0 25.202199935913086 35.92580032348633 11.57699966430664 0.0
12.0 25.202800750732422 35.932098388671875 12.081000328063965 0.0
12.0 25.203500747680664 35.93579864501953 12.583999633789062 0.0
13.0 25.19540023803711 35.92509841918945 13.590999603271484 0.0
13.0 25.19860076904297 35.9296989440918 13.088000297546387 0.0
14.0 25.202999114990234 35.940799713134766 14.093999862670898 0.0
14.0 25.20599937438965 35.947898864746094 14.597999572753906 0.0
15.0 25.207700729370117 35.95320129394531 15.10099983215332 0.0
15.0 25.20800018310547 35.955299377441406 15.604000091552734 0.0
16.0 25.20840072631836 35.959598541259766 16.107999801635742 0.0
16.0 25.20840072631836 35.962501525878906 16.611000061035156 0.0
17.0 25.20789909362793 35.96900177001953 17.618000030517578 0.0
17.0 25.208099365234375 35.96440124511719 17.114999771118164 0.0
18.0 25.208200454711914 35.97140121459961 18.121000289916992 0.0
18.0 25.20840072631836 35.97269821166992 18.625 0.0
19.0 25.20989990234375 35.97570037841797 19.128000259399414 0.0
19.0 25.210399627685547 35.97710037231445 19.631000518798828 0.0
20.0 25.21109962463379 35.97880172729492 20.135000228881836 0.0
20.0 25.21139907836914 35.97909927368164 20.63800048828125 0.0
21.0 25.21190071105957 35.979801177978516 21.142000198364258 0.0
21.0 25.212200164794922 35.980098724365234 21.645000457763672 0.0
22.0 25.212400436401367 35.98030090332031 22.14900016784668 0.0
22.0 25.212900161743164 35.980499267578125 22.652000427246094 0.0
23.0 25.21339988708496 35.98109817504883 23.155000686645508 0.0
23.0 25.214500427246094 35.98440170288086 23.659000396728516 0.0
24.0 25.212099075317383 35.984500885009766 24.666000366210938 0.0
24.0 25.213600158691406 35.984901428222656 24.16200065612793 0.0
25.0 25.211200714111328 35.98680114746094 25.672000885009766 0.0
25.0 25.211599349975586 35.98590087890625 25.16900062561035 0.0
26.0 25.20240020751953 35.98649978637695 26.679000854492188 0.0
26.0 25.20709991455078 35.98659896850586 26.176000595092773 0.0
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27.0 25.200599670410156 35.98740005493164 27.183000564575195 0.0
28.0 25.200599670410156 35.98970031738281 28.190000534057617 0.0
28.0 25.201200485229492 35.98820114135742 28.69300079345703 0.0
29.0 25.203699111938477 35.99259948730469 29.195999145507812 0.0
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32.0 25.20949935913086 35.99720001220703 32.720001220703125 0.0
32.0 25.210500717163086 35.99829864501953 32.21699905395508 0.0
33.0 25.21430015563965 36.0010986328125 33.2239990234375 0.0
33.0 25.220199584960938 36.00529861450195 33.72700119018555 0.0
34.0 25.220500946044922 36.00519943237305 34.23099899291992 0.0
34.0 25.221500396728516 36.00590133666992 34.73400115966797 0.0
35.0 25.221900939941406 36.006500244140625 35.23699951171875 0.0
35.0 25.222299575805664 36.00699996948242 35.74100112915039 0.0
36.0 25.22130012512207 36.00600051879883 36.74800109863281 0.0
36.0 25.222400665283203 36.00699996948242 36.24399948120117 0.0
37.0 25.222000122070312 36.00699996948242 37.250999450683594 0.0
37.0 25.224199295043945 36.00870132446289 37.755001068115234 0.0
38.0 25.225500106811523 36.009700775146484 38.257999420166016 0.0
38.0 25.225799560546875 36.010101318359375 38.76100158691406 0.0
39.0 25.226299285888672 36.01029968261719 39.26499938964844 0.0
39.0 25.2278995513916 36.01210021972656 39.768001556396484 0.0
40.0 25.227800369262695 36.01190185546875 40.775001525878906 0.0
40.0 25.228300094604492 36.01219940185547 40.27199935913086 0.0
41.0 25.227100372314453 36.011199951171875 41.27899932861328 0.0
41.0 25.228900909423828 36.012699127197266 41.78200149536133 0.0
42.0 25.229299545288086 36.012901306152344 42.28499984741211 0.0
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43.0 25.229700088500977 36.01300048828125 43.29199981689453 0.0
43.0 25.229799270629883 36.012901306152344 43.79600143432617 0.0
44.0 25.229900360107422 36.01300048828125 44.803001403808594 0.0
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48.0 25.234100341796875 36.01570129394531 48.83100128173828 0.0
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49.0 25.237600326538086 36.01810073852539 49.83700180053711 0.0
50.0 25.23940086364746 36.019100189208984 50.340999603271484 0.0
50.0 25.24049949645996 36.019798278808594 50.845001220703125 0.0
51.0 25.241600036621094 36.019901275634766 51.347999572753906 0.0
51.0 25.243200302124023 36.02149963378906 51.85100173950195 0.0
52.0 25.244199752807617 36.02239990234375 52.35499954223633 0.0
52.0 25.245100021362305 36.02330017089844 52.858001708984375 0.0
53.0 25.245100021362305 36.024200439453125 53.36199951171875 0.0
53.0 25.24920082092285 36.028099060058594 53.8650016784668 0.0
54.0 25.252099990844727 36.03020095825195 54.36899948120117 0.0
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58.0 25.150699615478516 36.07849884033203 58.900001525878906 0.0
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59.0 25.070199966430664 36.09130096435547 59.90700149536133 0.0
59.0 25.113000869750977 36.08470153808594 59.40399932861328 0.0
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496.0 7.548799991607666 34.929500579833984 500.4289855957031 0.0
497.0 7.547100067138672 34.9296989440918 501.43798828125 0.0
497.0 7.547999858856201 34.92959976196289 500.9330139160156 0.0
498.0 7.547999858856201 34.9297981262207 502.4469909667969 0.0
498.0 7.548500061035156 34.92959976196289 501.9419860839844 0.0
499.0 7.549699783325195 34.93000030517578 502.95098876953125 0.0
499.0 7.549799919128418 34.93009948730469 503.45599365234375 0.0
500.0 7.549200057983398 34.930198669433594 504.4649963378906 0.0
500.0 7.549699783325195 34.93000030517578 503.96099853515625 0.0
501.0 7.548799991607666 34.93000030517578 504.9700012207031 0.0
501.0 7.5569000244140625 34.930198669433594 505.4739990234375 0.0

In total, there are 998 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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