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Dataset Title:  "Deepwater CTD - 03260952.ctd.nc - 27.67N, -85.56W - 1979-04-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260952_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: 511)
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   511 options
    temperature ?  =  degree_C   503 options
    salinity ?  =  PSU   292 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 23.267000198364258 36.39799880981445 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 23.267000198364258 36.39799880981445 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 23.243000030517578 36.39799880981445 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 23.218000411987305 36.39799880981445 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 23.194000244140625 36.39899826049805 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 23.172000885009766 36.39899826049805 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 23.163999557495117 36.39899826049805 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 23.158000946044922 36.400001525878906 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 23.14900016784668 36.39899826049805 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 23.145999908447266 36.39799880981445 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 23.14299964904785 36.39699935913086 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 23.13599967956543 36.39400100708008 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 23.125999450683594 36.38999938964844 0.0
26.0 23.117000579833984 36.388999938964844 0.0
28.0 23.115999221801758 36.39099884033203 0.0
30.0 23.111000061035156 36.387001037597656 0.0
32.0 23.090999603271484 36.37900161743164 0.0
34.0 23.000999450683594 36.367000579833984 0.0
36.0 22.704999923706055 36.33100128173828 0.0
38.0 22.231000900268555 36.305999755859375 0.0
40.0 21.743000030517578 36.30099868774414 0.0
42.0 21.393999099731445 36.301998138427734 0.0
44.0 21.07200050354004 36.319000244140625 0.0
46.0 20.81999969482422 36.347999572753906 0.0
48.0 20.676000595092773 36.3489990234375 0.0
50.0 20.45800018310547 36.340999603271484 0.0
52.0 20.24799919128418 36.33399963378906 0.0
54.0 20.06800079345703 36.305999755859375 0.0
56.0 19.892000198364258 36.28200149536133 0.0
58.0 19.77899932861328 36.266998291015625 0.0
60.0 19.613000869750977 36.242000579833984 0.0
62.0 19.426000595092773 36.20899963378906 0.0
64.0 19.232999801635742 36.1879997253418 0.0
66.0 19.101999282836914 36.18600082397461 0.0
68.0 19.045000076293945 36.189998626708984 0.0
70.0 19.0310001373291 36.20100021362305 0.0
72.0 19.03499984741211 36.2130012512207 0.0
74.0 19.041000366210938 36.23099899291992 0.0
76.0 19.027000427246094 36.23699951171875 0.0
78.0 19.013999938964844 36.2400016784668 0.0
80.0 19.01099967956543 36.24399948120117 0.0
82.0 18.999000549316406 36.24399948120117 0.0
84.0 18.969999313354492 36.24100112915039 0.0
86.0 18.90999984741211 36.2239990234375 0.0
88.0 18.798999786376953 36.196998596191406 0.0
90.0 18.674999237060547 36.176998138427734 0.0
92.0 18.58799934387207 36.16899871826172 0.0
94.0 18.535999298095703 36.16899871826172 0.0
96.0 18.489999771118164 36.16600036621094 0.0
98.0 18.450000762939453 36.167999267578125 0.0
100.0 18.381999969482422 36.16299819946289 0.0
102.0 18.28700065612793 36.15299987792969 0.0
104.0 18.194000244140625 36.14500045776367 0.0
106.0 18.143999099731445 36.1510009765625 0.0
108.0 18.104000091552734 36.1619987487793 0.0
110.0 18.072999954223633 36.16899871826172 0.0
112.0 18.06599998474121 36.18600082397461 0.0
114.0 18.05900001525879 36.20800018310547 0.0
116.0 18.049999237060547 36.22800064086914 0.0
118.0 18.030000686645508 36.242000579833984 0.0
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122.0 18.013999938964844 36.2869987487793 0.0
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126.0 18.20199966430664 36.382999420166016 0.0
128.0 18.256999969482422 36.4109992980957 0.0
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132.0 18.225000381469727 36.422000885009766 0.0
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136.0 18.08799934387207 36.404998779296875 0.0
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202.0 15.859999656677246 36.12200164794922 0.0
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228.0 14.973999977111816 35.97700119018555 0.0
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266.0 13.618000030517578 35.75 0.0
268.0 13.604000091552734 35.75 0.0
270.0 13.562999725341797 35.742000579833984 0.0
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286.0 12.973999977111816 35.643001556396484 0.0
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314.0 12.256999969482422 35.5359992980957 0.0
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964.0 5.388999938964844 34.90999984741211 0.0
966.0 5.386000156402588 34.909000396728516 0.0
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972.0 5.376999855041504 34.90999984741211 0.0
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984.0 5.341000080108643 34.91299819946289 0.0
986.0 5.335999965667725 34.91299819946289 0.0
988.0 5.331999778747559 34.91299819946289 0.0
990.0 5.327000141143799 34.91299819946289 0.0
992.0 5.322000026702881 34.9119987487793 0.0
994.0 5.320000171661377 34.91299819946289 0.0
996.0 5.320000171661377 34.91299819946289 0.0
998.0 5.318999767303467 34.91400146484375 0.0
1000.0 5.316999912261963 34.91299819946289 0.0
1002.0 5.311999797821045 34.91299819946289 0.0
1004.0 5.307000160217285 34.91400146484375 0.0
1006.0 5.302999973297119 34.91400146484375 0.0
1008.0 5.296000003814697 34.915000915527344 0.0
1010.0 5.2870001792907715 34.915000915527344 0.0
1012.0 5.276000022888184 34.91600036621094 0.0
1014.0 5.265999794006348 34.91600036621094 0.0
1016.0 5.25600004196167 34.91699981689453 0.0
1018.0 5.23799991607666 34.917999267578125 0.0
1020.0 5.210999965667725 34.91899871826172 0.0

In total, there are 511 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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