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Dataset Title:  "Deepwater CTD - 88g0507d.ctd.nc - 27.76N, -93.47W - 1988-10-17" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0507d_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: 43)
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   43 options
    temperature ?  =  degree_C   43 options
    salinity ?  =  PSU   42 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   9 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols per liter   13 options
    silicate ?  =  micromols per liter   12 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 nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
5.0 26.543399810791016 36.44390106201172 2.7760000228881836 0.20999999344348907 31.009899139404297 1.9700000286102295 20.5 -99.0 0.0
10.0 26.549100875854492 36.421600341796875 2.8970000743865967 0.3400000035762787 31.509899139404297 2.0 22.100000381469727 -99.0 0.0
15.0 26.556100845336914 36.42499923706055 3.0309998989105225 0.11999999731779099 31.609899520874023 2.009999990463257 23.799999237060547 -99.0 0.0
20.0 26.557199478149414 36.42639923095703 3.2279999256134033 0.10999999940395355 31.109899520874023 1.9800000190734863 25.399999618530273 -99.0 0.0
25.0 26.55769920349121 36.426998138427734 3.371999979019165 0.10999999940395355 30.609899520874023 1.9500000476837158 26.5 -99.0 0.0
30.0 26.55739974975586 36.428199768066406 3.438999891281128 0.10999999940395355 30.009899139404297 1.909999966621399 26.600000381469727 -99.0 0.0
35.0 26.56369972229004 36.43119812011719 3.6110000610351562 0.0 29.309900283813477 1.8799999952316284 26.700000762939453 -99.0 0.0
40.0 26.5664005279541 36.433799743652344 3.872999906539917 0.10999999940395355 28.20989990234375 1.7999999523162842 26.799999237060547 -99.0 0.0
45.0 26.569400787353516 36.43579864501953 4.144000053405762 0.1599999964237213 26.909900665283203 1.7400000095367432 26.899999618530273 -99.0 0.0
50.0 26.58169937133789 36.444698333740234 4.427000045776367 0.36000001430511475 25.70989990234375 1.6399999856948853 27.200000762939453 -99.0 0.0
55.0 26.578399658203125 36.45429992675781 4.698999881744385 0.11999999731779099 24.409900665283203 1.5399999618530273 27.200000762939453 -99.0 0.0
60.0 25.89859962463379 36.47439956665039 4.926000118255615 0.1899999976158142 23.609899520874023 1.4700000286102295 27.100000381469727 -99.0 0.0
65.0 23.826200485229492 36.4911003112793 0.0
70.0 23.09280014038086 36.510398864746094 0.0
75.0 22.07360076904297 36.51190185546875 0.0
80.0 21.481199264526367 36.50519943237305 0.0
85.0 21.173900604248047 36.49399948120117 0.0
90.0 20.96179962158203 36.47959899902344 0.0
95.0 20.66349983215332 36.470001220703125 0.0
100.0 20.124399185180664 36.44390106201172 0.0
105.0 19.663999557495117 36.44710159301758 0.0
110.0 19.31909942626953 36.422698974609375 0.0
115.0 19.001699447631836 36.40909957885742 0.0
120.0 18.70599937438965 36.39459991455078 0.0
125.0 18.30459976196289 36.36750030517578 0.0
130.0 17.838499069213867 36.30419921875 0.0
135.0 17.459999084472656 36.247100830078125 0.0
140.0 17.160200119018555 36.2333984375 0.0
145.0 17.0093994140625 36.231300354003906 0.0
150.0 16.945899963378906 36.22520065307617 0.0
155.0 16.758699417114258 36.18579864501953 0.0
160.0 16.56800079345703 36.16859817504883 0.0
165.0 16.36910057067871 36.13750076293945 0.0
170.0 16.155500411987305 36.0994987487793 0.0
175.0 15.877300262451172 36.0786018371582 0.0
180.0 15.603599548339844 36.0343017578125 0.0
185.0 15.400899887084961 35.994300842285156 0.0
190.0 14.92870044708252 35.945701599121094 0.0
195.0 14.656200408935547 35.9010009765625 0.0
200.0 14.501999855041504 35.87820053100586 0.0
205.0 14.470800399780273 35.87329864501953 0.0
210.0 14.2253999710083 35.825401306152344 0.0
215.0 14.060600280761719 35.8125 0.0

In total, there are 43 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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