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Dataset Title:  "Deepwater CTD - d93e203.ctd.nc - 26.93N, -96.44W - 1993-05-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e203_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: 407)
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   204 options
    temperature ?  =  degree_C   401 options
    salinity ?  =  PSU   375 options
    oxygen ?  =  milliliters per liter   13 options
    pressure ?  =  decibars   407 options
    nitrite ?  =  micromols   9 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   11 options
    silicate ?  =  micromols   12 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 24.19890022277832 31.09309959411621 4.840000152587891 3.0199999809265137 0.05999999865889549 0.07999999821186066 0.05000000074505806 2.4100000858306885 31.2450008392334 0.0
3.0 24.209400177001953 31.076799392700195 4.800000190734863 3.5239999294281006 0.05999999865889549 0.07000000029802322 0.029999999329447746 2.5899999141693115 33.362998962402344 0.0
4.0 24.21109962463379 31.075700759887695 4.730000019073486 4.0269999504089355 0.05000000074505806 0.09000000357627869 0.029999999329447746 2.4100000858306885 34.47100067138672 0.0
4.0 24.21139907836914 31.07539939880371 4.650000095367432 4.53000020980835 0.05000000074505806 0.10999999940395355 0.019999999552965164 1.5499999523162842 36.095001220703125 0.0
5.0 24.210500717163086 31.076400756835938 4.230000019073486 5.5370001792907715 0.25999999046325684 1.7300000190734863 0.14000000059604645 1.850000023841858 36.297000885009766 0.0
5.0 24.210500717163086 31.076499938964844 4.53000020980835 5.033999919891357 0.1899999976158142 0.3799999952316284 0.05000000074505806 1.8200000524520874 36.15700149536133 0.0
6.0 24.204299926757812 31.093000411987305 3.2300000190734863 6.039999961853027 0.10000000149011612 7.440000057220459 0.41999998688697815 4.21999979019165 36.37099838256836 0.0
6.0 24.22330093383789 31.426000595092773 2.869999885559082 6.544000148773193 0.12999999523162842 10.819999694824219 0.6299999952316284 4.849999904632568 36.395999908447266 0.0
7.0 24.285600662231445 32.14789962768555 2.759999990463257 7.046999931335449 0.10999999940395355 13.050000190734863 0.75 5.349999904632568 36.32400131225586 0.0
7.0 24.36870002746582 32.97919845581055 2.5999999046325684 7.551000118255615 0.10999999940395355 15.420000076293945 0.9100000262260437 6.159999847412109 36.17399978637695 0.0
8.0 24.39539909362793 33.48320007324219 2.630000114440918 8.557000160217285 0.09000000357627869 17.950000762939453 1.090000033378601 7.739999771118164 35.98899841308594 0.0
8.0 24.399700164794922 33.35409927368164 2.740000009536743 8.053999900817871 0.10999999940395355 16.450000762939453 1.0 6.659999847412109 36.097999572753906 0.0
9.0 24.368499755859375 33.765899658203125 9.564000129699707 0.0
9.0 24.37700080871582 33.625999450683594 9.060999870300293 0.0
10.0 24.352399826049805 33.89569854736328 10.571000099182129 0.0
10.0 24.35689926147461 33.84379959106445 10.067999839782715 0.0
11.0 24.35219955444336 33.9281005859375 11.57800006866455 0.0
11.0 24.357900619506836 33.91939926147461 11.074000358581543 0.0
12.0 24.34709930419922 33.95100021362305 12.585000038146973 0.0
12.0 24.348600387573242 33.93330001831055 12.081000328063965 0.0
13.0 24.350000381469727 33.999900817871094 13.088000297546387 0.0
13.0 24.352500915527344 34.02730178833008 13.590999603271484 0.0
14.0 24.369699478149414 34.13370132446289 14.095000267028809 0.0
14.0 24.396799087524414 34.29520034790039 14.597999572753906 0.0
15.0 24.426599502563477 34.48160171508789 15.10200023651123 0.0
15.0 24.453899383544922 34.77519989013672 15.604999542236328 0.0
16.0 24.43199920654297 35.44810104370117 16.61199951171875 0.0
16.0 24.470399856567383 35.25199890136719 16.107999801635742 0.0
17.0 24.500699996948242 35.6880989074707 17.114999771118164 0.0
17.0 24.634300231933594 35.97760009765625 17.618999481201172 0.0
18.0 24.686599731445312 36.10530090332031 18.625 0.0
18.0 24.72909927368164 36.102699279785156 18.121999740600586 0.0
19.0 24.6343994140625 36.11180114746094 19.631999969482422 0.0
19.0 24.657499313354492 36.10710144042969 19.128999710083008 0.0
20.0 24.5851993560791 36.117801666259766 20.638999938964844 0.0
20.0 24.60930061340332 36.1161994934082 20.13599967956543 0.0
21.0 24.56209945678711 36.119300842285156 21.645999908447266 0.0
21.0 24.569799423217773 36.11869812011719 21.142000198364258 0.0
22.0 24.52549934387207 36.121700286865234 22.652999877929688 0.0
22.0 24.549999237060547 36.11940002441406 22.14900016784668 0.0
23.0 24.47369956970215 36.12379837036133 23.65999984741211 0.0
23.0 24.49370002746582 36.12710189819336 23.1560001373291 0.0
24.0 24.381099700927734 36.096900939941406 24.666000366210938 0.0
24.0 24.435199737548828 36.110198974609375 24.163000106811523 0.0
25.0 24.338499069213867 36.09669876098633 25.67300033569336 0.0
25.0 24.36050033569336 36.10200119018555 25.170000076293945 0.0
26.0 24.178199768066406 36.05950164794922 26.68000030517578 0.0
26.0 24.26569938659668 36.077999114990234 26.177000045776367 0.0
27.0 24.154699325561523 36.07469940185547 27.687000274658203 0.0
27.0 24.157400131225586 36.06829833984375 27.18400001525879 0.0
28.0 23.918100357055664 36.03860092163086 28.694000244140625 0.0
28.0 24.05940055847168 36.05970001220703 28.19099998474121 0.0
29.0 23.8705997467041 36.03450012207031 29.701000213623047 0.0
29.0 23.88290023803711 36.03670120239258 29.19700050354004 0.0
30.0 23.774799346923828 36.017398834228516 30.70800018310547 0.0
30.0 23.83769989013672 36.029598236083984 30.20400047302246 0.0
31.0 23.344600677490234 35.958900451660156 31.71500015258789 0.0
31.0 23.447500228881836 35.97309875488281 31.211000442504883 0.0
32.0 23.21540069580078 35.929298400878906 32.72100067138672 0.0
32.0 23.298999786376953 35.94850158691406 32.21799850463867 0.0
33.0 22.969999313354492 35.874698638916016 33.72800064086914 0.0
33.0 23.11280059814453 35.907901763916016 33.224998474121094 0.0
34.0 22.787700653076172 35.844200134277344 34.73500061035156 0.0
34.0 22.857500076293945 35.853599548339844 34.231998443603516 0.0
35.0 22.670299530029297 35.831199645996094 35.742000579833984 0.0
35.0 22.74850082397461 35.839698791503906 35.23899841308594 0.0
36.0 22.639799118041992 35.828399658203125 36.749000549316406 0.0
36.0 22.654199600219727 35.8297004699707 36.24599838256836 0.0
37.0 22.652700424194336 35.920501708984375 37.25299835205078 0.0
37.0 22.65519905090332 35.980499267578125 37.75600051879883 0.0
38.0 22.71540069580078 36.08250045776367 38.76300048828125 0.0
38.0 22.734500885009766 36.07059860229492 38.25899887084961 0.0
39.0 22.629499435424805 36.08789825439453 39.77000045776367 0.0
39.0 22.67020034790039 36.08330154418945 39.26599884033203 0.0
40.0 22.546100616455078 36.10169982910156 40.777000427246094 0.0
40.0 22.582000732421875 36.09270095825195 40.27299880981445 0.0
41.0 22.463899612426758 36.115299224853516 41.784000396728516 0.0
41.0 22.500099182128906 36.10900115966797 41.279998779296875 0.0
42.0 22.43400001525879 36.11859893798828 42.79100036621094 0.0
42.0 22.447099685668945 36.11709976196289 42.2869987487793 0.0
43.0 22.315000534057617 36.15010070800781 43.797000885009766 0.0
43.0 22.370800018310547 36.13090133666992 43.29399871826172 0.0
44.0 22.260700225830078 36.165000915527344 44.80400085449219 0.0
44.0 22.289499282836914 36.15810012817383 44.30099868774414 0.0
45.0 22.152299880981445 36.21730041503906 45.81100082397461 0.0
45.0 22.205799102783203 36.19490051269531 45.30799865722656 0.0
46.0 22.10930061340332 36.227901458740234 46.81800079345703 0.0
46.0 22.130399703979492 36.22169876098633 46.314998626708984 0.0
47.0 21.997900009155273 36.26959991455078 47.82500076293945 0.0
47.0 22.03459930419922 36.2578010559082 47.321998596191406 0.0
48.0 21.986099243164062 36.27199935913086 48.832000732421875 0.0
48.0 21.98859977722168 36.27069854736328 48.32899856567383 0.0
49.0 21.962099075317383 36.27629852294922 49.8390007019043 0.0
49.0 21.979299545288086 36.273799896240234 49.33599853515625 0.0
50.0 21.916799545288086 36.27939987182617 50.84600067138672 0.0
50.0 21.934999465942383 36.27859878540039 50.34299850463867 0.0
51.0 21.792200088500977 36.2848014831543 51.85300064086914 0.0
51.0 21.8533992767334 36.28200149536133 51.349998474121094 0.0
52.0 21.553300857543945 36.27289962768555 52.86000061035156 0.0
52.0 21.703899383544922 36.27799987792969 52.356998443603516 0.0
53.0 21.31920051574707 36.281898498535156 53.867000579833984 0.0
53.0 21.460100173950195 36.274200439453125 53.36399841308594 0.0
54.0 21.15049934387207 36.29309844970703 54.874000549316406 0.0
54.0 21.20789909362793 36.29010009765625 54.37099838256836 0.0
55.0 20.96299934387207 36.3390007019043 55.88100051879883 0.0
55.0 21.02560043334961 36.30720138549805 55.37799835205078 0.0
56.0 20.913700103759766 36.341800689697266 56.88800048828125 0.0
56.0 20.926799774169922 36.34040069580078 56.3849983215332 0.0
57.0 20.855100631713867 36.33940124511719 57.89500045776367 0.0
57.0 20.905099868774414 36.34429931640625 57.391998291015625 0.0
58.0 20.60770034790039 36.34049987792969 58.902000427246094 0.0
58.0 20.72559928894043 36.33530044555664 58.39899826049805 0.0
59.0 20.558799743652344 36.34199905395508 59.909000396728516 0.0
59.0 20.584999084472656 36.342098236083984 59.40599822998047 0.0
60.0 20.510299682617188 36.348899841308594 60.91600036621094 0.0
60.0 20.53350067138672 36.34429931640625 60.41299819946289 0.0
61.0 20.4601993560791 36.3583984375 61.92300033569336 0.0
61.0 20.48740005493164 36.35409927368164 61.41999816894531 0.0
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63.0 20.066299438476562 36.36629867553711 63.9379997253418 0.0
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64.0 19.850099563598633 36.37799835205078 64.94499969482422 0.0
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69.0 19.343599319458008 36.38880157470703 69.9800033569336 0.0
69.0 19.470399856567383 36.384498596191406 69.47599792480469 0.0
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201.0 15.102299690246582 35.99039840698242 202.95700073242188 0.0
201.0 15.112299919128418 35.992401123046875 202.4530029296875 0.0
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203.0 15.075900077819824 35.98699951171875 204.9720001220703 0.0
203.0 15.076399803161621 35.986698150634766 204.46800231933594 0.0
204.0 15.07960033416748 35.98759841918945 205.4759979248047 0.0
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205.0 15.062800407409668 35.983001708984375 206.98699951171875 0.0
205.0 15.097800254821777 35.989601135253906 206.48399353027344 0.0
206.0 15.07390022277832 35.98759841918945 207.49099731445312 0.0

In total, there are 407 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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