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Dataset Title:  "Deepwater CTD - 03260944.ctd.nc - 27.66N, -85.54W - 1979-04-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260944_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: 513)
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   513 options
    temperature ?  =  degree_C   509 options
    salinity ?  =  PSU   284 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   13 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  2 options

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 micromols micromols micromols PSU
0.0 23.14900016784668 36.393001556396484 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 23.14900016784668 36.393001556396484 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 23.155000686645508 36.39500045776367 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 23.15999984741211 36.39699935913086 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 23.16699981689453 36.395999908447266 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 23.176000595092773 36.39699935913086 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 23.176000595092773 36.39899826049805 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 23.173999786376953 36.39899826049805 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 23.17099952697754 36.39899826049805 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 23.166000366210938 36.4010009765625 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 23.163000106811523 36.4010009765625 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 23.163999557495117 36.39899826049805 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 23.165000915527344 36.39799880981445 0.0
26.0 23.158000946044922 36.39899826049805 0.0
28.0 23.124000549316406 36.402000427246094 0.0
30.0 23.048999786376953 36.400001525878906 0.0
32.0 22.940000534057617 36.39099884033203 0.0
34.0 22.804000854492188 36.38199996948242 0.0
36.0 22.573999404907227 36.409000396728516 0.0
38.0 22.21299934387207 36.4640007019043 0.0
40.0 21.572999954223633 36.45399856567383 0.0
42.0 21.10700035095215 36.43199920654297 0.0
44.0 20.832000732421875 36.426998138427734 0.0
46.0 20.66900062561035 36.42100143432617 0.0
48.0 20.562999725341797 36.41899871826172 0.0
50.0 20.45199966430664 36.40999984741211 0.0
52.0 20.33799934387207 36.400001525878906 0.0
54.0 20.253999710083008 36.395999908447266 0.0
56.0 20.131999969482422 36.393001556396484 0.0
58.0 19.920000076293945 36.362998962402344 0.0
60.0 19.684999465942383 36.31700134277344 0.0
62.0 19.488000869750977 36.2869987487793 0.0
64.0 19.340999603271484 36.26499938964844 0.0
66.0 19.22599983215332 36.24399948120117 0.0
68.0 19.142000198364258 36.23699951171875 0.0
70.0 19.086999893188477 36.24599838256836 0.0
72.0 18.97800064086914 36.24700164794922 0.0
74.0 18.83799934387207 36.22999954223633 0.0
76.0 18.743999481201172 36.2130012512207 0.0
78.0 18.690000534057617 36.20600128173828 0.0
80.0 18.63599967956543 36.20100021362305 0.0
82.0 18.60099983215332 36.19599914550781 0.0
84.0 18.582000732421875 36.19599914550781 0.0
86.0 18.559999465942383 36.19599914550781 0.0
88.0 18.520000457763672 36.19599914550781 0.0
90.0 18.45599937438965 36.19200134277344 0.0
92.0 18.409000396728516 36.189998626708984 0.0
94.0 18.41900062561035 36.229000091552734 0.0
96.0 18.365999221801758 36.24800109863281 0.0
98.0 18.280000686645508 36.231998443603516 0.0
100.0 18.20599937438965 36.2140007019043 0.0
102.0 18.14299964904785 36.21099853515625 0.0
104.0 18.084999084472656 36.20899963378906 0.0
106.0 18.06399917602539 36.21500015258789 0.0
108.0 18.027999877929688 36.23899841308594 0.0
110.0 17.979999542236328 36.25400161743164 0.0
112.0 17.92799949645996 36.24700164794922 0.0
114.0 17.959999084472656 36.270999908447266 0.0
116.0 17.993000030517578 36.29899978637695 0.0
118.0 17.975000381469727 36.30400085449219 0.0
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122.0 17.874000549316406 36.29100036621094 0.0
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126.0 17.774999618530273 36.28300094604492 0.0
128.0 17.743999481201172 36.28099822998047 0.0
130.0 17.708999633789062 36.279998779296875 0.0
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134.0 17.589000701904297 36.25600051879883 0.0
136.0 17.503999710083008 36.23500061035156 0.0
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172.0 16.716999053955078 36.262001037597656 0.0
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218.0 14.984999656677246 35.98699951171875 1.0
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990.0 5.394000053405762 34.909000396728516 0.0
992.0 5.388000011444092 34.90999984741211 0.0
994.0 5.383999824523926 34.90999984741211 0.0
996.0 5.376999855041504 34.909000396728516 0.0
998.0 5.370999813079834 34.90999984741211 0.0
1000.0 5.364999771118164 34.9119987487793 0.0
1002.0 5.360000133514404 34.9119987487793 0.0
1004.0 5.355000019073486 34.9109992980957 0.0
1006.0 5.348999977111816 34.9119987487793 0.0
1008.0 5.34499979019165 34.9119987487793 0.0
1010.0 5.343999862670898 34.9119987487793 0.0
1012.0 5.341000080108643 34.91299819946289 0.0
1014.0 5.336999893188477 34.91299819946289 0.0
1016.0 5.328000068664551 34.91400146484375 0.0
1018.0 5.317999839782715 34.91400146484375 0.0
1020.0 5.314000129699707 34.91400146484375 0.0
1022.0 5.313000202178955 34.91400146484375 0.0
1024.0 5.310999870300293 34.91400146484375 0.0

In total, there are 513 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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