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Dataset Title:  "Deepwater CTD - 03260489.ctd.nc - 24.47N, -84.66W - 1979-03-27" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260489_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: 499)
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   499 options
    temperature ?  =  degree_C   480 options
    salinity ?  =  PSU   248 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 21.746000289916992 36.14799880981445 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 21.746000289916992 36.14799880981445 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 21.746000289916992 36.14799880981445 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 21.7450008392334 36.14899826049805 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 21.7450008392334 36.150001525878906 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 21.746000289916992 36.1510009765625 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 21.746999740600586 36.152000427246094 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 21.746999740600586 36.15399932861328 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 21.763999938964844 36.16999816894531 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 21.785999298095703 36.242000579833984 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 21.805999755859375 36.319000244140625 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 21.731000900268555 36.375 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 21.606000900268555 36.38199996948242 0.0
26.0 21.474000930786133 36.38199996948242 0.0
28.0 21.30699920654297 36.38999938964844 0.0
30.0 21.172000885009766 36.395999908447266 0.0
32.0 21.03499984741211 36.40299987792969 0.0
34.0 21.014999389648438 36.40800094604492 0.0
36.0 20.98900032043457 36.41299819946289 0.0
38.0 20.913999557495117 36.42499923706055 0.0
40.0 20.83300018310547 36.435001373291016 0.0
42.0 20.777999877929688 36.44200134277344 0.0
44.0 20.732999801635742 36.44599914550781 0.0
46.0 20.691999435424805 36.44900131225586 0.0
48.0 20.648000717163086 36.452999114990234 0.0
50.0 20.593000411987305 36.45500183105469 0.0
52.0 20.53499984741211 36.457000732421875 0.0
54.0 20.474000930786133 36.45899963378906 0.0
56.0 20.40399932861328 36.45800018310547 0.0
58.0 20.3439998626709 36.45800018310547 0.0
60.0 20.301000595092773 36.45899963378906 0.0
62.0 20.257999420166016 36.459999084472656 0.0
64.0 20.11400032043457 36.46099853515625 0.0
66.0 19.948999404907227 36.46099853515625 0.0
68.0 19.81800079345703 36.45899963378906 0.0
70.0 19.674999237060547 36.45600128173828 0.0
72.0 19.507999420166016 36.452999114990234 0.0
74.0 19.323999404907227 36.44499969482422 0.0
76.0 19.16200065612793 36.43899917602539 0.0
78.0 18.97599983215332 36.43299865722656 0.0
80.0 18.753999710083008 36.42300033569336 0.0
82.0 18.56800079345703 36.41899871826172 0.0
84.0 18.429000854492188 36.404998779296875 0.0
86.0 18.320999145507812 36.39799880981445 0.0
88.0 18.209999084472656 36.39099884033203 0.0
90.0 18.06599998474121 36.37099838256836 0.0
92.0 17.856000900268555 36.35100173950195 0.0
94.0 17.575000762939453 36.332000732421875 0.0
96.0 17.280000686645508 36.301998138427734 0.0
98.0 17.01099967956543 36.26599884033203 0.0
100.0 16.864999771118164 36.24700164794922 0.0
102.0 16.81100082397461 36.24300003051758 0.0
104.0 16.71500015258789 36.229000091552734 0.0
106.0 16.56399917602539 36.20600128173828 0.0
108.0 16.43400001525879 36.18600082397461 0.0
110.0 16.33300018310547 36.17399978637695 0.0
112.0 16.224000930786133 36.16400146484375 0.0
114.0 16.054000854492188 36.13800048828125 0.0
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128.0 14.95300006866455 35.965999603271484 0.0
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216.0 11.045000076293945 35.35100173950195 0.0
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838.0 5.004000186920166 34.933998107910156 0.0
840.0 5.002999782562256 34.933998107910156 0.0
842.0 5.000999927520752 34.933998107910156 0.0
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846.0 4.993000030517578 34.935001373291016 0.0
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850.0 4.991000175476074 34.935001373291016 0.0
852.0 4.988999843597412 34.933998107910156 0.0
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856.0 4.979000091552734 34.935001373291016 0.0
858.0 4.956999778747559 34.93600082397461 0.0
860.0 4.927000045776367 34.93899917602539 1.0
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920.0 4.807000160217285 34.94499969482422 0.0
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924.0 4.802999973297119 34.946998596191406 1.0
926.0 4.797999858856201 34.94599914550781 0.0
928.0 4.794000148773193 34.94499969482422 0.0
930.0 4.794000148773193 34.944000244140625 0.0
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940.0 4.776000022888184 34.94599914550781 0.0
942.0 4.7729997634887695 34.948001861572266 1.0
944.0 4.76800012588501 34.948001861572266 1.0
946.0 4.757999897003174 34.946998596191406 0.0
948.0 4.751999855041504 34.946998596191406 0.0
950.0 4.748000144958496 34.948001861572266 0.0
952.0 4.744999885559082 34.948001861572266 0.0
954.0 4.742000102996826 34.94900131225586 0.0
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958.0 4.738999843597412 34.94900131225586 0.0
960.0 4.728000164031982 34.95000076293945 0.0
962.0 4.706999778747559 34.95100021362305 0.0
964.0 4.692999839782715 34.95199966430664 0.0
966.0 4.689000129699707 34.95199966430664 0.0
968.0 4.684999942779541 34.95199966430664 0.0
970.0 4.681000232696533 34.95199966430664 0.0
972.0 4.677999973297119 34.95199966430664 0.0
974.0 4.673999786376953 34.95199966430664 0.0
976.0 4.671999931335449 34.952999114990234 0.0
978.0 4.671000003814697 34.95199966430664 0.0
980.0 4.671000003814697 34.952999114990234 0.0
982.0 4.671000003814697 34.952999114990234 0.0
984.0 4.670000076293945 34.952999114990234 0.0
986.0 4.670000076293945 34.952999114990234 0.0
988.0 4.669000148773193 34.952999114990234 0.0
990.0 4.666999816894531 34.952999114990234 0.0
992.0 4.663000106811523 34.95199966430664 0.0
994.0 4.656000137329102 34.952999114990234 0.0
996.0 4.650000095367432 34.95399856567383 0.0

In total, there are 499 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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