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Dataset Title:  "Deepwater CTD - d93d103.ctd.nc - 27.75N, -93.0W - 1993-02-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93d103_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: 399)
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   200 options
    temperature ?  =  degree_C   379 options
    salinity ?  =  PSU   350 options
    oxygen ?  =  milliliters per liter   10 options
    pressure ?  =  decibars   399 options
    nitrite ?  =  micromols   8 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   8 options
    silicate ?  =  micromols   13 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 21.139299392700195 36.02880096435547 5.010000228881836 2.5169999599456787 0.019999999552965164 0.07999999821186066 0.03999999910593033 2.75 36.03200149536133 0.0
3.0 21.14590072631836 36.02870178222656 4.960000038146973 3.5239999294281006 0.019999999552965164 0.009999999776482582 0.019999999552965164 2.299999952316284 36.029998779296875 0.0
3.0 21.1466007232666 36.028499603271484 4.960000038146973 3.0199999809265137 0.019999999552965164 0.019999999552965164 0.029999999329447746 2.2699999809265137 36.03200149536133 0.0
4.0 21.145299911499023 36.02880096435547 4.960000038146973 4.0269999504089355 0.029999999329447746 0.029999999329447746 0.029999999329447746 2.369999885559082 36.073001861572266 0.0
4.0 21.147199630737305 36.02830123901367 5.329999923706055 4.53000020980835 0.03999999910593033 0.05000000074505806 0.019999999552965164 1.9500000476837158 36.073001861572266 0.0
5.0 21.146099090576172 36.02859878540039 4.960000038146973 5.033999919891357 0.05000000074505806 0.10999999940395355 0.019999999552965164 1.809999942779541 36.0890007019043 0.0
5.0 21.14699935913086 36.02859878540039 5.309999942779541 5.5370001792907715 0.05999999865889549 0.1599999964237213 0.019999999552965164 1.7100000381469727 36.11199951171875 0.0
6.0 21.14699935913086 36.02880096435547 3.819999933242798 6.544000148773193 0.12999999523162842 4.309999942779541 0.23999999463558197 2.990000009536743 36.303001403808594 0.0
6.0 21.1471004486084 36.02880096435547 4.96999979019165 6.039999961853027 0.07000000029802322 0.18000000715255737 0.029999999329447746 1.6399999856948853 36.132999420166016 0.0
7.0 21.148300170898438 36.028499603271484 2.880000114440918 7.551000118255615 0.05000000074505806 14.430000305175781 0.8199999928474426 6.079999923706055 36.23899841308594 0.0
7.0 21.148500442504883 36.02859878540039 2.9600000381469727 7.046999931335449 0.05999999865889549 9.760000228881836 0.5199999809265137 4.230000019073486 36.448001861572266 0.0
8.0 21.149499893188477 36.02840042114258 8.557000160217285 0.0
8.0 21.149700164794922 36.02830123901367 2.75 8.053999900817871 0.05000000074505806 19.31999969482422 1.159999966621399 9.130000114440918 35.86399841308594 0.0
9.0 21.14889907836914 36.02859878540039 9.060999870300293 0.0
9.0 21.14929962158203 36.02840042114258 9.564000129699707 0.0
10.0 21.14889907836914 36.028499603271484 10.067999839782715 0.0
10.0 21.149099349975586 36.02840042114258 10.571000099182129 0.0
11.0 21.148799896240234 36.02859878540039 11.074000358581543 0.0
11.0 21.14929962158203 36.02840042114258 11.57800006866455 0.0
12.0 21.149499893188477 36.02870178222656 12.081000328063965 0.0
12.0 21.149999618530273 36.02859878540039 12.585000038146973 0.0
13.0 21.149700164794922 36.02870178222656 13.088000297546387 0.0
13.0 21.149700164794922 36.02870178222656 13.590999603271484 0.0
14.0 21.150299072265625 36.028099060058594 14.095000267028809 0.0
14.0 21.15060043334961 36.0281982421875 14.597999572753906 0.0
15.0 21.149700164794922 36.02859878540039 15.604999542236328 0.0
15.0 21.149999618530273 36.02840042114258 15.10200023651123 0.0
16.0 21.144800186157227 36.03020095825195 16.61199951171875 0.0
16.0 21.14590072631836 36.029998779296875 16.107999801635742 0.0
17.0 21.14419937133789 36.03020095825195 17.618999481201172 0.0
17.0 21.14699935913086 36.029300689697266 17.114999771118164 0.0
18.0 21.143199920654297 36.030601501464844 18.121999740600586 0.0
18.0 21.143299102783203 36.030799865722656 18.625 0.0
19.0 21.14109992980957 36.02989959716797 19.631999969482422 0.0
19.0 21.14349937438965 36.030601501464844 19.128999710083008 0.0
20.0 21.13170051574707 36.031898498535156 20.638999938964844 0.0
20.0 21.134300231933594 36.03129959106445 20.13599967956543 0.0
21.0 21.127899169921875 36.03200149536133 21.645999908447266 0.0
21.0 21.12969970703125 36.03200149536133 21.14299964904785 0.0
22.0 21.11079978942871 36.0343017578125 22.652999877929688 0.0
22.0 21.126399993896484 36.031898498535156 22.14900016784668 0.0
23.0 21.090599060058594 36.03779983520508 23.65999984741211 0.0
23.0 21.099899291992188 36.03620147705078 23.1560001373291 0.0
24.0 21.073400497436523 36.040401458740234 24.666000366210938 0.0
24.0 21.083099365234375 36.039100646972656 24.163000106811523 0.0
25.0 21.059799194335938 36.042301177978516 25.67300033569336 0.0
25.0 21.06369972229004 36.04180145263672 25.170000076293945 0.0
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26.0 21.025999069213867 36.04669952392578 26.177000045776367 0.0
27.0 20.932600021362305 36.05950164794922 27.687000274658203 0.0
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32.0 20.85379981994629 36.081600189208984 32.21799850463867 0.0
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33.0 20.855199813842773 36.082698822021484 33.224998474121094 0.0
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39.0 20.849300384521484 36.089599609375 39.77000045776367 0.0
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197.0 14.41569995880127 35.886199951171875 198.92599487304688 0.0
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198.0 14.406999588012695 35.8843994140625 199.42999267578125 0.0
199.0 14.330499649047852 35.87200164794922 200.9409942626953 0.0
199.0 14.370100021362305 35.87820053100586 200.43699645996094 0.0
200.0 14.180000305175781 35.8484001159668 201.94900512695312 0.0
200.0 14.293999671936035 35.86589813232422 201.44500732421875 0.0
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In total, there are 399 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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