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Dataset Title:  "Deepwater CTD - d93d100.ctd.nc - 27.45N, -93.0W - 1993-02-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93d100_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: 1903)
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   952 options
    temperature ?  =  degree_C   1788 options
    salinity ?  =  PSU   1171 options
    oxygen ?  =  milliliters per liter   13 options
    pressure ?  =  decibars   1903 options
    nitrite ?  =  micromols   6 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   12 options
    salinity2 ?  =  PSU   12 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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
2.0 20.949399948120117 36.01679992675781 5.010000228881836 2.5169999599456787 0.009999999776482582 0.019999999552965164 0.05000000074505806 1.2599999904632568 36.012001037597656 0.0
2.0 20.949800491333008 36.0182991027832 4.789999961853027 2.0139999389648438 0.009999999776482582 0.029999999329447746 0.07000000029802322 1.409999966621399 36.012001037597656 0.0
3.0 20.949600219726562 36.0166015625 5.03000020980835 3.0199999809265137 0.009999999776482582 0.009999999776482582 0.03999999910593033 1.2200000286102295 36.01599884033203 0.0
3.0 20.953699111938477 36.01689910888672 5.039999961853027 3.5239999294281006 0.009999999776482582 0.009999999776482582 0.03999999910593033 1.2699999809265137 36.03200149536133 0.0
4.0 20.95560073852539 36.017398834228516 4.980000019073486 4.0269999504089355 0.009999999776482582 0.029999999329447746 0.029999999329447746 1.409999966621399 36.104000091552734 0.0
4.0 20.95680046081543 36.0172004699707 4.909999847412109 4.53000020980835 0.019999999552965164 0.09000000357627869 0.029999999329447746 1.4600000381469727 36.10200119018555 0.0
5.0 20.95840072631836 36.017398834228516 4.880000114440918 5.033999919891357 0.019999999552965164 0.3400000035762787 0.029999999329447746 1.4800000190734863 36.119998931884766 0.0
5.0 20.96299934387207 36.01850128173828 3.119999885559082 5.5370001792907715 0.09000000357627869 8.470000267028809 0.46000000834465027 3.7799999713897705 36.49599838256836 0.0
6.0 20.95829963684082 36.01839828491211 2.680000066757202 6.544000148773193 0.09000000357627869 21.649999618530273 1.409999966621399 10.300000190734863 35.64400100708008 0.0
6.0 20.96150016784668 36.01839828491211 2.8499999046325684 6.039999961853027 0.10000000149011612 16.3700008392334 1.0099999904632568 6.670000076293945 36.07099914550781 0.0
7.0 20.959400177001953 36.0192985534668 2.809999942779541 7.046999931335449 0.10999999940395355 29.770000457763672 1.9299999475479126 20.760000228881836 34.974998474121094 0.0
7.0 20.964000701904297 36.020999908447266 3.380000114440918 7.551000118255615 0.10000000149011612 28.600000381469727 1.940000057220459 27.670000076293945 34.904998779296875 0.0
8.0 20.961700439453125 36.019500732421875 8.557000160217285 0.0
8.0 20.96430015563965 36.02190017700195 8.053999900817871 0.0
9.0 20.959699630737305 36.01839828491211 9.060999870300293 0.0
9.0 20.960599899291992 36.0182991027832 9.564000129699707 0.0
10.0 20.95159912109375 36.01620101928711 10.571000099182129 0.0
10.0 20.955900192260742 36.017601013183594 10.067999839782715 0.0
11.0 20.95210075378418 36.0177001953125 11.57800006866455 0.0
11.0 20.95479965209961 36.0172004699707 11.074000358581543 0.0
12.0 20.94059944152832 36.014198303222656 12.081000328063965 0.0
12.0 20.94070053100586 36.01409912109375 12.585000038146973 0.0
13.0 20.94890022277832 36.0161018371582 13.088000297546387 0.0
13.0 20.966800689697266 36.019100189208984 13.590999603271484 0.0
14.0 20.96649932861328 36.019500732421875 14.095000267028809 0.0
14.0 20.96769905090332 36.020301818847656 14.597999572753906 0.0
15.0 20.965499877929688 36.01959991455078 15.10200023651123 0.0
15.0 20.9685001373291 36.02259826660156 15.604999542236328 0.0
16.0 20.96649932861328 36.020301818847656 16.107999801635742 0.0
16.0 20.968399047851562 36.02180099487305 16.61199951171875 0.0
17.0 20.970199584960938 36.02510070800781 17.114999771118164 0.0
17.0 20.970699310302734 36.026100158691406 17.618999481201172 0.0
18.0 20.971900939941406 36.02799987792969 18.625 0.0
18.0 20.972000122070312 36.02859878540039 18.121999740600586 0.0
19.0 20.970800399780273 36.02399826049805 19.631999969482422 0.0
19.0 20.971500396728516 36.027000427246094 19.128999710083008 0.0
20.0 20.97130012512207 36.025299072265625 20.13599967956543 0.0
20.0 20.972299575805664 36.02730178833008 20.638999938964844 0.0
21.0 20.972299575805664 36.027198791503906 21.645999908447266 0.0
21.0 20.97249984741211 36.02799987792969 21.142000198364258 0.0
22.0 20.971500396728516 36.026100158691406 22.652999877929688 0.0
22.0 20.972000122070312 36.02619934082031 22.14900016784668 0.0
23.0 20.971900939941406 36.027000427246094 23.1560001373291 0.0
23.0 20.97209930419922 36.02750015258789 23.65999984741211 0.0
24.0 20.97209930419922 36.02690124511719 24.163000106811523 0.0
24.0 20.97260093688965 36.02870178222656 24.666000366210938 0.0
25.0 20.973100662231445 36.030601501464844 25.170000076293945 0.0
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31.0 20.982900619506836 36.06700134277344 31.211000442504883 0.0
32.0 20.977500915527344 36.08190155029297 32.72100067138672 0.0
32.0 20.979400634765625 36.08000183105469 32.21799850463867 0.0
33.0 20.974300384521484 36.088600158691406 33.72800064086914 0.0
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34.0 20.954599380493164 36.096099853515625 34.73500061035156 0.0
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38.0 20.944900512695312 36.0984001159668 38.76300048828125 0.0
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49.0 20.94930076599121 36.10770034790039 49.8390007019043 0.0
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50.0 20.94879913330078 36.107601165771484 50.84600067138672 0.0
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496.0 7.938799858093262 34.97570037841797 499.9429931640625 0.0
497.0 7.934000015258789 34.97529983520508 501.4570007324219 0.0
497.0 7.937300205230713 34.97549819946289 500.9519958496094 0.0
498.0 7.932600021362305 34.97520065307617 502.46600341796875 0.0
498.0 7.933199882507324 34.975399017333984 501.9620056152344 0.0
499.0 7.9319000244140625 34.97529983520508 503.4750061035156 0.0
499.0 7.932300090789795 34.97549819946289 502.97100830078125 0.0
500.0 7.929200172424316 34.974998474121094 504.4849853515625 0.0
500.0 7.929999828338623 34.97520065307617 503.9800109863281 0.0
501.0 7.925300121307373 34.97460174560547 505.4939880371094 0.0
501.0 7.92710018157959 34.974700927734375 504.989013671875 0.0

In total, there are 1903 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 903 rows aren't being shown.
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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