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Dataset Title:  "Deepwater CTD - 03260498.ctd.nc - 24.98N, -85.77W - 1979-03-28" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260498_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: 500)
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   500 options
    temperature ?  =  degree_C   482 options
    salinity ?  =  PSU   340 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 25.643999099731445 36.154998779296875 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 25.643999099731445 36.154998779296875 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 25.64900016784668 36.15800094604492 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 25.64699935913086 36.15800094604492 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 25.64299964904785 36.15700149536133 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 25.639999389648438 36.15599822998047 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 25.642000198364258 36.15599822998047 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 25.649999618530273 36.15700149536133 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 25.658000946044922 36.15599822998047 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 25.659000396728516 36.15599822998047 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 25.658000946044922 36.15700149536133 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 25.658000946044922 36.15700149536133 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 25.658000946044922 36.15800094604492 0.0
26.0 25.65999984741211 36.15700149536133 0.0
28.0 25.660999298095703 36.15800094604492 0.0
30.0 25.660999298095703 36.15800094604492 0.0
32.0 25.660999298095703 36.15800094604492 0.0
34.0 25.66200065612793 36.15800094604492 0.0
36.0 25.663000106811523 36.15700149536133 0.0
38.0 25.666000366210938 36.15700149536133 0.0
40.0 25.66699981689453 36.15800094604492 0.0
42.0 25.66699981689453 36.15800094604492 0.0
44.0 25.663999557495117 36.15700149536133 0.0
46.0 25.66200065612793 36.15700149536133 0.0
48.0 25.656999588012695 36.15599822998047 0.0
50.0 25.65399932861328 36.15700149536133 0.0
52.0 25.652000427246094 36.15700149536133 0.0
54.0 25.652000427246094 36.15800094604492 0.0
56.0 25.64900016784668 36.15599822998047 0.0
58.0 25.64900016784668 36.15599822998047 0.0
60.0 25.649999618530273 36.15700149536133 0.0
62.0 25.64900016784668 36.15700149536133 0.0
64.0 25.649999618530273 36.15599822998047 0.0
66.0 25.652000427246094 36.15700149536133 0.0
68.0 25.650999069213867 36.15700149536133 0.0
70.0 25.648000717163086 36.15599822998047 0.0
72.0 25.645999908447266 36.15700149536133 0.0
74.0 25.643999099731445 36.15700149536133 0.0
76.0 25.642000198364258 36.15599822998047 0.0
78.0 25.638999938964844 36.15599822998047 0.0
80.0 25.631000518798828 36.15599822998047 0.0
82.0 25.621999740600586 36.154998779296875 0.0
84.0 25.608999252319336 36.15399932861328 0.0
86.0 25.5939998626709 36.15299987792969 0.0
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90.0 25.57699966430664 36.152000427246094 0.0
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98.0 25.61199951171875 36.20000076293945 0.0
100.0 25.597999572753906 36.209999084472656 0.0
102.0 25.489999771118164 36.21200180053711 0.0
104.0 25.375 36.22100067138672 0.0
106.0 25.360000610351562 36.244998931884766 0.0
108.0 25.371999740600586 36.26499938964844 0.0
110.0 25.395999908447266 36.28799819946289 0.0
112.0 25.41900062561035 36.34299850463867 0.0
114.0 25.43400001525879 36.382999420166016 0.0
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128.0 24.924999237060547 36.492000579833984 0.0
130.0 24.75 36.5989990234375 0.0
132.0 24.549999237060547 36.67599868774414 0.0
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136.0 24.26099967956543 36.733001708984375 0.0
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202.0 21.29400062561035 36.849998474121094 0.0
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264.0 19.006000518798828 36.625 0.0
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942.0 5.752999782562256 34.90399932861328 0.0
944.0 5.73799991607666 34.904998779296875 1.0
946.0 5.728000164031982 34.90599822998047 1.0
948.0 5.7210001945495605 34.904998779296875 0.0
950.0 5.715000152587891 34.90700149536133 1.0
952.0 5.705999851226807 34.90700149536133 1.0
954.0 5.690000057220459 34.90800094604492 1.0
956.0 5.681000232696533 34.90800094604492 1.0
958.0 5.672999858856201 34.90800094604492 1.0
960.0 5.668000221252441 34.90800094604492 1.0
962.0 5.663000106811523 34.90800094604492 1.0
964.0 5.65500020980835 34.909000396728516 1.0
966.0 5.642000198364258 34.909000396728516 1.0
968.0 5.627999782562256 34.90800094604492 0.0
970.0 5.617000102996826 34.90999984741211 1.0
972.0 5.61299991607666 34.90800094604492 0.0
974.0 5.611999988555908 34.90700149536133 0.0
976.0 5.604000091552734 34.909000396728516 0.0
978.0 5.5960001945495605 34.90999984741211 1.0
980.0 5.580999851226807 34.9109992980957 1.0
982.0 5.564000129699707 34.9119987487793 1.0
984.0 5.554999828338623 34.9119987487793 1.0
986.0 5.546000003814697 34.91400146484375 1.0
988.0 5.539000034332275 34.91299819946289 1.0
990.0 5.5320000648498535 34.91400146484375 1.0
992.0 5.525000095367432 34.915000915527344 1.0
994.0 5.513000011444092 34.915000915527344 1.0
996.0 5.505000114440918 34.91400146484375 1.0
998.0 5.497000217437744 34.91400146484375 1.0

In total, there are 500 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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