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Dataset Title:  "Deepwater CTD - d93g220.ctd.nc - 26.01N, -96.31W - 1993-11-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g220_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: 405)
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   203 options
    temperature ?  =  degree_C   401 options
    salinity ?  =  PSU   369 options
    oxygen ?  =  milliliters per liter   2 options
    pressure ?  =  decibars   405 options
    nitrite ?  =  micromols   8 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   11 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   2 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 24.03890037536621 35.63029861450195 -9.0 3.5239999294281006 0.0 0.14000000059604645 0.029999999329447746 2.509999990463257 -9.0 0.0
4.0 24.034799575805664 35.6327018737793 -9.0 4.0269999504089355 0.0 0.07000000029802322 0.019999999552965164 2.3399999141693115 -9.0 0.0
4.0 24.037399291992188 35.62889862060547 -9.0 4.53000020980835 0.0 0.07000000029802322 0.019999999552965164 2.2899999618530273 -9.0 0.0
5.0 24.037799835205078 35.589298248291016 -9.0 5.033999919891357 0.009999999776482582 0.10000000149011612 0.019999999552965164 2.1700000762939453 -9.0 0.0
5.0 24.038700103759766 35.60300064086914 -9.0 5.5370001792907715 0.009999999776482582 0.05999999865889549 0.0 2.0 -9.0 0.0
6.0 24.041500091552734 35.629398345947266 -9.0 6.039999961853027 0.10000000149011612 0.05000000074505806 0.009999999776482582 1.7400000095367432 -9.0 0.0
6.0 24.041900634765625 35.63349914550781 -9.0 6.544000148773193 0.20000000298023224 0.44999998807907104 0.03999999910593033 1.9500000476837158 -9.0 0.0
7.0 24.042200088500977 35.634498596191406 -9.0 7.046999931335449 0.10999999940395355 1.9700000286102295 0.12999999523162842 2.9200000762939453 -9.0 0.0
7.0 24.042699813842773 35.63460159301758 -9.0 7.551000118255615 0.029999999329447746 9.289999961853027 0.5199999809265137 5.170000076293945 -9.0 0.0
8.0 24.042499542236328 35.63479995727539 -9.0 8.053999900817871 0.019999999552965164 10.779999732971191 0.6100000143051147 5.800000190734863 -9.0 0.0
8.0 24.046499252319336 35.63840103149414 -9.0 8.557000160217285 0.009999999776482582 14.1899995803833 0.7699999809265137 5.889999866485596 -9.0 0.0
9.0 24.062299728393555 35.657100677490234 -9.0 9.060999870300293 0.009999999776482582 17.059999465942383 0.9399999976158142 6.650000095367432 -9.0 0.0
9.0 24.07659912109375 35.67060089111328 9.564000129699707 0.0
10.0 24.067100524902344 35.658599853515625 10.571000099182129 0.0
10.0 24.073200225830078 35.66699981689453 10.067999839782715 0.0
11.0 24.08340072631836 35.68009948730469 11.074000358581543 0.0
11.0 24.08489990234375 35.68090057373047 11.57800006866455 0.0
12.0 24.079999923706055 35.67490005493164 12.081000328063965 0.0
12.0 24.082500457763672 35.67940139770508 12.585000038146973 0.0
13.0 24.090599060058594 35.68730163574219 13.590999603271484 0.0
13.0 24.096500396728516 35.69449996948242 13.088000297546387 0.0
14.0 24.09119987487793 35.690101623535156 14.095000267028809 0.0
14.0 24.113399505615234 35.7150993347168 14.597999572753906 0.0
15.0 24.11400032043457 35.714900970458984 15.604999542236328 0.0
15.0 24.125099182128906 35.730499267578125 15.10200023651123 0.0
16.0 24.11750030517578 35.721900939941406 16.107999801635742 0.0
16.0 24.122299194335938 35.725799560546875 16.61199951171875 0.0
17.0 24.19179916381836 35.82709884643555 17.114999771118164 0.0
17.0 24.204500198364258 35.83829879760742 17.618999481201172 0.0
18.0 24.204999923706055 35.838600158691406 18.625 0.0
18.0 24.209699630737305 35.84709930419922 18.121999740600586 0.0
19.0 24.211599349975586 35.850799560546875 19.128999710083008 0.0
19.0 24.254199981689453 35.91510009765625 19.631999969482422 0.0
20.0 24.28700065612793 35.95989990234375 20.13599967956543 0.0
20.0 24.302200317382812 35.98350143432617 20.638999938964844 0.0
21.0 24.303600311279297 35.98619842529297 21.142000198364258 0.0
21.0 24.305500030517578 35.98780059814453 21.645999908447266 0.0
22.0 24.30590057373047 35.98849868774414 22.652999877929688 0.0
22.0 24.306699752807617 35.98860168457031 22.14900016784668 0.0
23.0 24.300600051879883 35.98749923706055 23.1560001373291 0.0
23.0 24.30069923400879 35.98759841918945 23.65999984741211 0.0
24.0 24.301700592041016 35.98820114135742 24.163000106811523 0.0
24.0 24.303499221801758 35.98899841308594 24.666000366210938 0.0
25.0 24.305700302124023 35.9900016784668 25.170000076293945 0.0
25.0 24.307300567626953 35.9906005859375 25.67300033569336 0.0
26.0 24.310300827026367 35.991798400878906 26.177000045776367 0.0
26.0 24.312999725341797 35.99290084838867 26.68000030517578 0.0
27.0 24.31170082092285 35.9922981262207 27.687000274658203 0.0
27.0 24.31290054321289 35.99259948730469 27.18400001525879 0.0
28.0 24.309799194335938 35.99190139770508 28.694000244140625 0.0
28.0 24.311599731445312 35.9921989440918 28.190000534057617 0.0
29.0 24.311199188232422 35.992698669433594 29.19700050354004 0.0
29.0 24.31279945373535 35.993499755859375 29.701000213623047 0.0
30.0 24.311100006103516 35.99319839477539 30.70800018310547 0.0
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31.0 24.310699462890625 35.99300003051758 31.211000442504883 0.0
31.0 24.310800552368164 35.993099212646484 31.71500015258789 0.0
32.0 24.313600540161133 35.99449920654297 32.21799850463867 0.0
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33.0 24.316299438476562 35.99589920043945 33.72800064086914 0.0
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35.0 24.313499450683594 35.99549865722656 35.742000579833984 0.0
35.0 24.31369972229004 35.99549865722656 35.23899841308594 0.0
36.0 24.315200805664062 35.996299743652344 36.24599838256836 0.0
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37.0 24.3218994140625 36.0 37.75600051879883 0.0
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38.0 24.319900512695312 35.999698638916016 38.76300048828125 0.0
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39.0 24.31839942932129 35.999298095703125 39.26599884033203 0.0
40.0 24.323999404907227 36.00400161743164 40.27299880981445 0.0
40.0 24.33169937133789 36.00870132446289 40.777000427246094 0.0
41.0 24.354400634765625 36.028499603271484 41.279998779296875 0.0
41.0 24.363000869750977 36.0359992980957 41.784000396728516 0.0
42.0 24.371700286865234 36.043399810791016 42.2869987487793 0.0
42.0 24.385099411010742 36.05649948120117 42.79100036621094 0.0
43.0 24.395999908447266 36.065799713134766 43.29399871826172 0.0
43.0 24.40180015563965 36.06990051269531 43.79800033569336 0.0
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52.0 24.530399322509766 36.21220016479492 52.356998443603516 0.0
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In total, there are 405 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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