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Dataset Title:  "Deepwater CTD - 03260003.ctd.nc - 27.65N, -85.56W - 1979-02-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260003_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: 484)
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   484 options
    temperature ?  =  degree_C   479 options
    salinity ?  =  PSU   277 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 20.6560001373291 36.441001892089844 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 20.6560001373291 36.441001892089844 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 20.66200065612793 36.441001892089844 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 20.67300033569336 36.441001892089844 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 20.67300033569336 36.44200134277344 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 20.672000885009766 36.441001892089844 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 20.66900062561035 36.44300079345703 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 20.659000396728516 36.44900131225586 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 20.61400032043457 36.45899963378906 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 20.52400016784668 36.46500015258789 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 20.468000411987305 36.46500015258789 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 20.44300079345703 36.46799850463867 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 20.43600082397461 36.46900177001953 0.0
26.0 20.423999786376953 36.46900177001953 0.0
28.0 20.36199951171875 36.47700119018555 0.0
30.0 20.288000106811523 36.483001708984375 0.0
32.0 20.260000228881836 36.474998474121094 0.0
34.0 20.246000289916992 36.4739990234375 0.0
36.0 20.23200035095215 36.47600173950195 0.0
38.0 20.219999313354492 36.474998474121094 0.0
40.0 20.21500015258789 36.474998474121094 0.0
42.0 20.214000701904297 36.479000091552734 0.0
44.0 20.208999633789062 36.481998443603516 0.0
46.0 20.195999145507812 36.47999954223633 0.0
48.0 20.18000030517578 36.474998474121094 0.0
50.0 20.172000885009766 36.47100067138672 0.0
52.0 20.16699981689453 36.47100067138672 0.0
54.0 20.163999557495117 36.47100067138672 0.0
56.0 20.16200065612793 36.472999572753906 0.0
58.0 20.158000946044922 36.4739990234375 0.0
60.0 20.15399932861328 36.472999572753906 0.0
62.0 20.152000427246094 36.474998474121094 0.0
64.0 20.14900016784668 36.47800064086914 0.0
66.0 20.14299964904785 36.48099899291992 0.0
68.0 20.121999740600586 36.499000549316406 0.0
70.0 20.03700065612793 36.525001525878906 0.0
72.0 19.75 36.553001403808594 0.0
74.0 19.44300079345703 36.56999969482422 0.0
76.0 19.22800064086914 36.555999755859375 0.0
78.0 19.121000289916992 36.553001403808594 0.0
80.0 19.02899932861328 36.54999923706055 0.0
82.0 18.909000396728516 36.54399871826172 0.0
84.0 18.777000427246094 36.55099868774414 0.0
86.0 18.558000564575195 36.54600143432617 0.0
88.0 18.298999786376953 36.505001068115234 0.0
90.0 18.117000579833984 36.45600128173828 0.0
92.0 18.062999725341797 36.4370002746582 0.0
94.0 18.018999099731445 36.428001403808594 0.0
96.0 17.966999053955078 36.42499923706055 0.0
98.0 17.92300033569336 36.435001373291016 0.0
100.0 17.861000061035156 36.43000030517578 0.0
102.0 17.761999130249023 36.42900085449219 0.0
104.0 17.64900016784668 36.415000915527344 0.0
106.0 17.535999298095703 36.40700149536133 0.0
108.0 17.4060001373291 36.388999938964844 0.0
110.0 17.29800033569336 36.35499954223633 0.0
112.0 17.270000457763672 36.35100173950195 0.0
114.0 17.235000610351562 36.35300064086914 0.0
116.0 17.1299991607666 36.349998474121094 0.0
118.0 16.98699951171875 36.32699966430664 1.0
120.0 16.92799949645996 36.3120002746582 1.0
122.0 16.878999710083008 36.310001373291016 1.0
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128.0 16.56599998474121 36.2599983215332 1.0
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132.0 16.38800048828125 36.23500061035156 1.0
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136.0 16.263999938964844 36.202999114990234 1.0
138.0 16.207000732421875 36.194000244140625 1.0
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174.0 14.961999893188477 35.99100112915039 1.0
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248.0 12.14799976348877 35.53200149536133 0.0
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804.0 5.4679999351501465 34.90599822998047 0.0
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912.0 5.107999801635742 34.93199920654297 1.0
914.0 5.084000110626221 34.93199920654297 1.0
916.0 5.073999881744385 34.92900085449219 0.0
918.0 5.071000099182129 34.92900085449219 0.0
920.0 5.067999839782715 34.92900085449219 0.0
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930.0 5.0329999923706055 34.933998107910156 1.0
932.0 5.026000022888184 34.935001373291016 1.0
934.0 5.013999938964844 34.93199920654297 0.0
936.0 5.011000156402588 34.930999755859375 0.0
938.0 5.008999824523926 34.93199920654297 0.0
940.0 5.007999897003174 34.93199920654297 0.0
942.0 5.006999969482422 34.93199920654297 0.0
944.0 5.004000186920166 34.93299865722656 0.0
946.0 5.000999927520752 34.93299865722656 0.0
948.0 5.0 34.93299865722656 0.0
950.0 4.998000144958496 34.93299865722656 0.0
952.0 4.995999813079834 34.933998107910156 0.0
954.0 4.994999885559082 34.933998107910156 0.0
956.0 4.993000030517578 34.933998107910156 0.0
958.0 4.991000175476074 34.93299865722656 0.0
960.0 4.992000102996826 34.933998107910156 0.0
962.0 4.992000102996826 34.935001373291016 0.0
964.0 4.989999771118164 34.935001373291016 0.0
966.0 4.988999843597412 34.933998107910156 0.0

In total, there are 484 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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