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Dataset Title:  "Deepwater CTD - 03259999.ctd.nc - 27.62N, -85.53W - 1979-02-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03259999_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: 498)
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   498 options
    temperature ?  =  degree_C   479 options
    salinity ?  =  PSU   273 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 20.58799934387207 36.45000076293945 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 20.58799934387207 36.45000076293945 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 20.590999603271484 36.44900131225586 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 20.590999603271484 36.44900131225586 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 20.590999603271484 36.44900131225586 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 20.589000701904297 36.45199966430664 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 20.58300018310547 36.45199966430664 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 20.52400016784668 36.4630012512207 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 20.423999786376953 36.47200012207031 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 20.27400016784668 36.46699905395508 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 20.225000381469727 36.47200012207031 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 20.215999603271484 36.472999572753906 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 20.208999633789062 36.47200012207031 0.0
26.0 20.20800018310547 36.472999572753906 0.0
28.0 20.20400047302246 36.470001220703125 0.0
30.0 20.201000213623047 36.46900177001953 0.0
32.0 20.200000762939453 36.46699905395508 0.0
34.0 20.19499969482422 36.46900177001953 0.0
36.0 20.19300079345703 36.47200012207031 0.0
38.0 20.19700050354004 36.47600173950195 0.0
40.0 20.197999954223633 36.47800064086914 0.0
42.0 20.197999954223633 36.48099899291992 0.0
44.0 20.19300079345703 36.47999954223633 0.0
46.0 20.18899917602539 36.47999954223633 0.0
48.0 20.18600082397461 36.479000091552734 0.0
50.0 20.18199920654297 36.47999954223633 0.0
52.0 20.179000854492188 36.48400115966797 0.0
54.0 20.173999786376953 36.48500061035156 0.0
56.0 20.165000915527344 36.48699951171875 0.0
58.0 20.14699935913086 36.48699951171875 0.0
60.0 20.104999542236328 36.492000579833984 0.0
62.0 20.041000366210938 36.49399948120117 0.0
64.0 19.996000289916992 36.49300003051758 0.0
66.0 19.950000762939453 36.50299835205078 0.0
68.0 19.8439998626709 36.50600051879883 0.0
70.0 19.625 36.53099822998047 0.0
72.0 19.405000686645508 36.560001373291016 0.0
74.0 19.266000747680664 36.571998596191406 0.0
76.0 19.104000091552734 36.571998596191406 0.0
78.0 18.937000274658203 36.564998626708984 0.0
80.0 18.79400062561035 36.54499816894531 0.0
82.0 18.65399932861328 36.52799987792969 0.0
84.0 18.499000549316406 36.512001037597656 0.0
86.0 18.354999542236328 36.49399948120117 0.0
88.0 18.218000411987305 36.486000061035156 0.0
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92.0 17.892000198364258 36.44900131225586 0.0
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96.0 17.64699935913086 36.402000427246094 0.0
98.0 17.54199981689453 36.40299987792969 0.0
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102.0 17.375999450683594 36.382999420166016 0.0
104.0 17.277999877929688 36.38100051879883 0.0
106.0 17.10099983215332 36.349998474121094 0.0
108.0 16.952999114990234 36.31700134277344 1.0
110.0 16.868000030517578 36.310001373291016 1.0
112.0 16.781999588012695 36.29399871826172 1.0
114.0 16.70800018310547 36.28300094604492 1.0
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118.0 16.542999267578125 36.26499938964844 1.0
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122.0 16.42099952697754 36.24100112915039 1.0
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128.0 16.218000411987305 36.22700119018555 1.0
130.0 16.059999465942383 36.20100021362305 1.0
132.0 15.949000358581543 36.16600036621094 1.0
134.0 15.887999534606934 36.145999908447266 1.0
136.0 15.824000358581543 36.13100051879883 1.0
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174.0 14.968999862670898 36.00299835205078 1.0
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230.0 12.8149995803833 35.632999420166016 0.0
232.0 12.78600025177002 35.625 0.0
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268.0 11.77299976348877 35.48099899291992 1.0
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842.0 5.309999942779541 34.91899871826172 0.0
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850.0 5.2829999923706055 34.92100143432617 1.0
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924.0 5.0 34.933998107910156 0.0
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936.0 4.995999813079834 34.935001373291016 0.0
938.0 4.99399995803833 34.933998107910156 0.0
940.0 4.99399995803833 34.935001373291016 0.0
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946.0 4.989999771118164 34.935001373291016 0.0
948.0 4.988999843597412 34.93600082397461 0.0
950.0 4.98799991607666 34.93600082397461 0.0
952.0 4.98799991607666 34.935001373291016 0.0
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958.0 4.986999988555908 34.93600082397461 0.0
960.0 4.98199987411499 34.93600082397461 0.0
962.0 4.980000019073486 34.935001373291016 0.0
964.0 4.978000164031982 34.935001373291016 0.0
966.0 4.978000164031982 34.93600082397461 0.0
968.0 4.97599983215332 34.9370002746582 1.0
970.0 4.973999977111816 34.9370002746582 1.0
972.0 4.9730000495910645 34.9370002746582 0.0
974.0 4.96999979019165 34.9370002746582 0.0
976.0 4.9670000076293945 34.9370002746582 0.0
978.0 4.965000152587891 34.9370002746582 0.0
980.0 4.961999893188477 34.9370002746582 0.0
982.0 4.959000110626221 34.9379997253418 1.0
984.0 4.956999778747559 34.9379997253418 1.0
986.0 4.954999923706055 34.9370002746582 0.0
988.0 4.953000068664551 34.9379997253418 0.0
990.0 4.951000213623047 34.9379997253418 0.0
992.0 4.949999809265137 34.9379997253418 0.0
994.0 4.948999881744385 34.93899917602539 1.0

In total, there are 498 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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