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Dataset Title:  "Deepwater CTD - 92g0305b.ctd.nc - 26.69N, -94.99W - 1992-03-18" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_92g0305b_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: 98)
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   98 options
    temperature ?  =  degree_C   97 options
    salinity ?  =  PSU   97 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   7 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols per liter   13 options
    silicate ?  =  micromols per liter   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 nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
4.0 21.1560001373291 34.24760055541992 4.586999893188477 0.0 0.0 0.0 0.20000000298023224 -99.0 0.0
5.0 21.15530014038086 34.252601623535156 4.678999900817871 0.0 0.20000000298023224 0.009999999776482582 0.699999988079071 -99.0 0.0
6.0 21.15559959411621 34.257198333740234 4.98799991607666 0.0 0.10000000149011612 0.019999999552965164 0.8999999761581421 -99.0 0.0
7.0 21.156299591064453 34.256900787353516 4.840000152587891 0.029999999329447746 0.4000000059604645 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 21.15850067138672 34.281700134277344 3.6489999294281006 0.05000000074505806 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
9.0 21.16200065612793 34.29890060424805 3.3589999675750732 0.029999999329447746 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
10.0 21.161699295043945 34.36349868774414 3.1559998989105225 0.019999999552965164 9.600000381469727 0.5 2.5 -99.0 0.0
11.0 21.162099838256836 34.48419952392578 2.9860000610351562 0.009999999776482582 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
12.0 21.14299964904785 34.6411018371582 2.941999912261963 0.009999999776482582 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
13.0 21.13479995727539 34.73749923706055 2.7980000972747803 0.07000000029802322 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
14.0 21.098100662231445 34.86149978637695 2.609999895095825 0.0 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
15.0 20.891799926757812 35.183101654052734 2.7780001163482666 0.019999999552965164 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
16.0 20.881099700927734 35.185699462890625 0.0
17.0 20.87700080871582 35.20909881591797 0.0
18.0 20.779499053955078 35.34040069580078 0.0
19.0 20.776599884033203 35.294898986816406 0.0
20.0 20.78350067138672 35.30580139160156 0.0
21.0 20.6028995513916 35.46179962158203 0.0
22.0 20.498300552368164 35.573001861572266 0.0
23.0 20.635799407958984 35.4182014465332 0.0
24.0 20.66200065612793 35.37189865112305 0.0
25.0 20.540000915527344 35.480899810791016 0.0
26.0 20.59160041809082 35.416099548339844 0.0
27.0 20.480100631713867 35.47460174560547 0.0
28.0 20.254100799560547 35.79499816894531 0.0
29.0 20.26110076904297 35.89970016479492 0.0
30.0 20.286399841308594 35.92150115966797 0.0
31.0 20.25749969482422 35.9900016784668 0.0
32.0 20.26919937133789 35.98939895629883 0.0
33.0 20.261600494384766 35.97529983520508 0.0
34.0 20.2460994720459 36.00170135498047 0.0
35.0 20.228700637817383 36.02450180053711 0.0
36.0 20.21929931640625 36.04600143432617 0.0
37.0 20.22010040283203 36.04359817504883 0.0
38.0 20.19770050048828 36.06100082397461 0.0
39.0 20.206100463867188 36.05540084838867 0.0
40.0 20.192100524902344 36.06460189819336 0.0
41.0 20.189599990844727 36.068199157714844 0.0
42.0 20.185199737548828 36.077598571777344 0.0
43.0 20.186199188232422 36.082698822021484 0.0
44.0 20.18899917602539 36.08610153198242 0.0
45.0 20.190399169921875 36.08689880371094 0.0
46.0 20.1914005279541 36.089298248291016 0.0
47.0 20.196199417114258 36.09830093383789 0.0
48.0 20.20330047607422 36.100399017333984 0.0
49.0 20.203500747680664 36.09120178222656 0.0
50.0 20.194299697875977 36.08620071411133 0.0
51.0 20.187700271606445 36.07229995727539 0.0
52.0 20.15959930419922 36.0702018737793 0.0
53.0 20.148099899291992 36.05500030517578 0.0
54.0 20.12689971923828 36.07229995727539 0.0
55.0 20.121599197387695 36.069801330566406 0.0
56.0 20.047300338745117 36.06610107421875 0.0
57.0 20.061899185180664 36.032901763916016 0.0
58.0 20.009599685668945 36.02000045776367 0.0
59.0 19.97249984741211 36.06079864501953 0.0
60.0 19.968700408935547 36.083900451660156 0.0
61.0 19.97170066833496 36.0796012878418 0.0
62.0 19.967199325561523 36.08789825439453 0.0
63.0 19.97249984741211 36.08089828491211 0.0
64.0 19.964599609375 36.07939910888672 0.0
65.0 19.956499099731445 36.08290100097656 0.0
66.0 19.945100784301758 36.072601318359375 0.0
67.0 19.935199737548828 36.07640075683594 0.0
68.0 19.933000564575195 36.074798583984375 0.0
69.0 19.922000885009766 36.08489990234375 0.0
70.0 19.923599243164062 36.08359909057617 0.0
71.0 19.924100875854492 36.08380126953125 0.0
72.0 19.9325008392334 36.105098724365234 0.0
73.0 19.942699432373047 36.10969924926758 0.0
74.0 19.944900512695312 36.13029861450195 0.0
75.0 19.95479965209961 36.16889953613281 0.0
76.0 20.010000228881836 36.159000396728516 0.0
77.0 20.017499923706055 36.172401428222656 0.0
78.0 20.0226993560791 36.16749954223633 0.0
79.0 20.005699157714844 36.17020034790039 0.0
80.0 20.004100799560547 36.170101165771484 0.0
81.0 19.965999603271484 36.15420150756836 0.0
82.0 19.939699172973633 36.129600524902344 0.0
83.0 19.91629981994629 36.102699279785156 0.0
84.0 19.791500091552734 36.15359878540039 0.0
85.0 19.803800582885742 36.13719940185547 0.0
86.0 19.761999130249023 36.12879943847656 0.0
87.0 19.716100692749023 36.14550018310547 0.0
88.0 19.712499618530273 36.1327018737793 0.0
89.0 19.678800582885742 36.154998779296875 0.0
90.0 19.641599655151367 36.19179916381836 0.0
91.0 19.648099899291992 36.1797981262207 0.0
92.0 19.65369987487793 36.29779815673828 0.0
93.0 19.70490074157715 36.32870101928711 0.0
94.0 19.77910041809082 36.37030029296875 0.0
95.0 19.831600189208984 36.37289810180664 0.0
96.0 19.828100204467773 36.372501373291016 0.0
97.0 19.75469970703125 36.39310073852539 0.0
98.0 19.690000534057617 36.424800872802734 0.0
99.0 19.683000564575195 36.40850067138672 0.0
100.0 19.546600341796875 36.410301208496094 0.0
101.0 19.380800247192383 36.47489929199219 0.0

In total, there are 98 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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