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Dataset Title:  "Deepwater CTD - d94j007.ctd.nc - 27.87N, -92.86W - 1994-11-03" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j007_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: 432)
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   216 options
    temperature ?  =  degree_C   431 options
    salinity ?  =  PSU   406 options
    oxygen ?  =  milliliters per liter   13 options
    pressure ?  =  decibars   432 options
    nitrite ?  =  micromols   8 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   12 options
    silicate ?  =  micromols   12 options
    salinity2 ?  =  PSU   11 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 25.685300827026367 35.71139907836914 5.010000228881836 2.013000011444092 0.009999999776482582 0.07000000029802322 0.009999999776482582 1.5700000524520874 35.71699905395508 0.0
2.0 25.69059944152832 35.71269989013672 4.929999828338623 2.5169999599456787 0.0 0.07000000029802322 0.009999999776482582 1.350000023841858 35.73099899291992 0.0
3.0 25.689800262451172 35.71260070800781 3.859999895095825 3.5239999294281006 0.17000000178813934 0.9399999976158142 0.17000000178813934 3.9800000190734863 36.26300048828125 0.0
3.0 25.69260025024414 35.712100982666016 4.03000020980835 3.0199999809265137 0.009999999776482582 0.07999999821186066 0.10999999940395355 2.369999885559082 36.2859992980957 0.0
4.0 25.67530059814453 35.71289825439453 3.259999990463257 4.53000020980835 0.09000000357627869 5.400000095367432 0.33000001311302185 6.78000020980835 36.34000015258789 0.0
4.0 25.679000854492188 35.712799072265625 3.4000000953674316 4.0269999504089355 0.2800000011920929 2.9200000762939453 0.30000001192092896 5.940000057220459 36.30699920654297 0.0
5.0 25.674699783325195 35.712799072265625 3.3499999046325684 5.033999919891357 0.07000000029802322 6.239999771118164 0.36000001430511475 5.400000095367432 36.34700012207031 0.0
5.0 25.67530059814453 35.7130012512207 3.430000066757202 5.5370001792907715 0.07000000029802322 7.230000019073486 0.3499999940395355 2.200000047683716 36.54199981689453 0.0
6.0 25.673599243164062 35.713199615478516 3.1500000953674316 6.039999961853027 0.029999999329447746 11.170000076293945 0.5799999833106995 3.140000104904175 36.41899871826172 0.0
6.0 25.679899215698242 35.71269989013672 3.0899999141693115 6.544000148773193 0.009999999776482582 13.140000343322754 0.7099999785423279 3.9800000190734863 36.26300048828125 0.0
7.0 25.686500549316406 35.71260070800781 2.8299999237060547 7.551000118255615 0.009999999776482582 19.829999923706055 1.190000057220459 8.4399995803833 35.71699905395508 0.0
7.0 25.688499450683594 35.712501525878906 3.0 7.046999931335449 0.009999999776482582 15.59000015258789 0.8799999952316284 5.139999866485596 36.07600021362305 0.0
8.0 25.686800003051758 35.71260070800781 8.053999900817871 0.0
8.0 25.686899185180664 35.712398529052734 8.557000160217285 0.0
9.0 25.68670082092285 35.71220016479492 9.060999870300293 0.0
9.0 25.69029998779297 35.712100982666016 9.564000129699707 0.0
10.0 25.622600555419922 35.714698791503906 10.571000099182129 0.0
10.0 25.65850067138672 35.71179962158203 10.067999839782715 0.0
11.0 25.49049949645996 35.71080017089844 11.57800006866455 0.0
11.0 25.571500778198242 35.7140007019043 11.074000358581543 0.0
12.0 25.425100326538086 35.719398498535156 12.585000038146973 0.0
12.0 25.427600860595703 35.719398498535156 12.081000328063965 0.0
13.0 25.392799377441406 35.71979904174805 13.590999603271484 0.0
13.0 25.4064998626709 35.720001220703125 13.088000297546387 0.0
14.0 25.368099212646484 35.72060012817383 14.597999572753906 0.0
14.0 25.380300521850586 35.72119903564453 14.095000267028809 0.0
15.0 25.36479949951172 35.723201751708984 15.604999542236328 0.0
15.0 25.374099731445312 35.72159957885742 15.10200023651123 0.0
16.0 25.360700607299805 35.72420120239258 16.61199951171875 0.0
16.0 25.36199951171875 35.7234992980957 16.107999801635742 0.0
17.0 25.357200622558594 35.724700927734375 17.618999481201172 0.0
17.0 25.358999252319336 35.7244987487793 17.114999771118164 0.0
18.0 25.35379981994629 35.725101470947266 18.625 0.0
18.0 25.355499267578125 35.72489929199219 18.121999740600586 0.0
19.0 25.350299835205078 35.72560119628906 19.631999969482422 0.0
19.0 25.351999282836914 35.725399017333984 19.128999710083008 0.0
20.0 25.346500396728516 35.72489929199219 20.638999938964844 0.0
20.0 25.34939956665039 35.72589874267578 20.13599967956543 0.0
21.0 25.34320068359375 35.724098205566406 21.645999908447266 0.0
21.0 25.344499588012695 35.724300384521484 21.142000198364258 0.0
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22.0 25.343000411987305 35.724098205566406 22.14900016784668 0.0
23.0 25.338300704956055 35.7234001159668 23.65999984741211 0.0
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25.0 25.33679962158203 35.7239990234375 25.67300033569336 0.0
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29.0 25.324100494384766 35.72549819946289 29.701000213623047 0.0
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31.0 25.324499130249023 35.7317008972168 31.211000442504883 0.0
31.0 25.32509994506836 35.80720138549805 31.71500015258789 0.0
32.0 25.0216007232666 36.23979949951172 32.72100067138672 0.0
32.0 25.159799575805664 36.188499450683594 32.21799850463867 0.0
33.0 24.5093994140625 36.2671012878418 33.72800064086914 0.0
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34.0 24.248899459838867 36.26969909667969 34.73500061035156 0.0
34.0 24.36549949645996 36.27180099487305 34.231998443603516 0.0
35.0 23.878000259399414 36.27920150756836 35.742000579833984 0.0
35.0 24.11680030822754 36.26890182495117 35.23899841308594 0.0
36.0 23.601699829101562 36.27370071411133 36.749000549316406 0.0
36.0 23.79330062866211 36.275699615478516 36.24599838256836 0.0
37.0 23.491899490356445 36.259700775146484 37.75600051879883 0.0
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38.0 23.364700317382812 36.25709915161133 38.76300048828125 0.0
38.0 23.431499481201172 36.256500244140625 38.25899887084961 0.0
39.0 23.092500686645508 36.23460006713867 39.77000045776367 0.0
39.0 23.259199142456055 36.24919891357422 39.26599884033203 0.0
40.0 23.038799285888672 36.2322998046875 40.777000427246094 0.0
40.0 23.06369972229004 36.2333984375 40.27299880981445 0.0
41.0 22.961200714111328 36.234500885009766 41.784000396728516 0.0
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42.0 22.952499389648438 36.25559997558594 42.79100036621094 0.0
42.0 22.95870018005371 36.240501403808594 42.2869987487793 0.0
43.0 22.834999084472656 36.25 43.79800033569336 0.0
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50.0 21.844600677490234 36.28900146484375 50.84600067138672 0.0
50.0 21.9419002532959 36.292198181152344 50.34299850463867 0.0
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215.0 13.502400398254395 35.72420120239258 217.06500244140625 0.0
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In total, there are 432 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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